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ORCID38th ICDE 2022: Kuala Lumpur, Malaysia
- 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022. IEEE 2022, ISBN 978-1-6654-0883-7
- Kazuki Nakajima, Kazuyuki Shudo:
Social Graph Restoration via Random Walk Sampling. 1-14 - Haibo Wang
, Chaoyi Ma, Shigang Chen, Yuanda Wang:
Online Cardinality Estimation by Self-morphing Bitmaps. 1-13 - Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. 14-26 - Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello:
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. 27-40 - Yanhao Wang, Francesco Fabbri, Michael Mathioudakis:
Streaming Algorithms for Diversity Maximization with Fairness Constraints. 41-53 - Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh:
SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks. 54-67 - Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. 68-80 - Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han:
Distributed Influence Maximization for Large-Scale Online Social Networks. 81-95 - Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui:
PeriodicSketch: Finding Periodic Items in Data Streams. 96-109 - Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, Xiaohong Guan:
Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs. 110-122 - Zhe Li, Man Lung Yiu, Tsz Nam Chan:
PAW: Data Partitioning Meets Workload Variance. 123-135 - Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang:
Enhancing Federated Learning with In-Cloud Unlabeled Data. 136-149 - Adrian Rebmann, Matthias Weidlich, Han van der Aa:
GECCO: Constraint-driven Abstraction of Low-level Event Logs. 150-163 - Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig:
The Stair Sketch: Bringing more Clarity to Memorize Recent Events. 164-177 - Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang:
Effective Few-Shot Named Entity Linking by Meta-Learning. 178-191 - Peng Peng, M. Tamer Özsu, Lei Zou, Cen Yan, Chengjun Liu:
MPC: Minimum Property-Cut RDF Graph Partitioning. 192-204 - Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Time-sensitive POI Recommendation by Tensor Completion with Side Information. 205-217 - Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu:
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. 218-231 - Guorui Xiao, Jin Wang, Chunbin Lin, Carlo Zaniolo:
Highly Efficient String Similarity Search and Join over Compressed Indexes. 232-244 - Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin:
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. 245-258 - Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang:
Fairness-aware Maximal Clique Enumeration. 259-271 - Anil Pacaci, Angela Bonifati, M. Tamer Özsu:
Evaluating Complex Queries on Streaming Graphs. 272-285 - Renjie Xiao, Yong'an Yuan, Zijing Tan, Shuai Ma, Wei Wang:
Dynamic Functional Dependency Discovery with Dynamic Hitting Set Enumeration. 286-298 - Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. 299-311 - Huaijie Zhu, Wei Liu, Jian Yin, Mengxiang Wang, Jianliang Xu, Xin Huang, Wang-Chien Lee:
Continuous Geo-Social Group Monitoring over Moving Users. 312-324 - Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng:
Constrained Path Search with Submodular Function Maximization. 325-337 - Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke:
Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs. 338-351 - Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei:
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. 352-366 - Yishu Wang, Ye Yuan, Wenjie Zhang, Yi Zhang, Xuemin Lin, Guoren Wang:
Reachability-Driven Influence Maximization in Time-dependent Road-social Networks. 367-379 - Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan:
Efficient Top-k Ego-Betweenness Search. 380-392 - Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao:
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics. 393-406 - Jiawei Duan, Qingqing Ye, Haibo Hu:
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. 407-419 - Luyi Qu, Yuming Li, Rong Zhang, Ting Chen, Ke Shu, Weining Qian, Aoying Zhou:
Application-Oriented Workload Generation for Transactional Database Performance Evaluation. 420-432 - Yufei Wang, Xiang Cheng:
PRISM: Prefix-Sum based Range Queries Processing Method under Local Differential Privacy. 433-445 - Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Efficient Reinforcement of Bipartite Networks at Billion Scale. 446-458 - Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang:
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. 459-471 - Kyuhan Lee, Jihoon Ko, Kijung Shin:
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. 472-484 - Chen Luo, Michael J. Carey:
DynaHash: Efficient Data Rebalancing in Apache AsterixDB. 485-497 - Kai Wang, Wenjie Zhang, Xuemin Lin, Lu Qin, Alexander Zhou:
Efficient Personalized Maximum Biclique Search. 498-511 - Qingshuai Feng, You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach. 512-524 - Hua Yan, Shuai Wang, Yu Yang, Baoshen Guo, Tian He, Desheng Zhang:
$O^{2}$-SiteRec: Store Site Recommendation under the O2O Model via Multi-graph Attention Networks. 525-538 - Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun:
Example-based Spatial Search at Scale. 539-551 - Yuanhang Yu, Dong Wen, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction. 552-564 - Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou:
minIL: A Simple and Small Index for String Similarity Search with Edit Distance. 565-577 - Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song:
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. 578-592 - Deyu Kong, Xike Xie, Zhuoxu Zhang:
Clustering-based Partitioning for Large Web Graphs. 593-606 - Pierre Faure-Giovagnoli, Jean-Marc Petit, Vasile-Marian Scuturici:
Assessing the Existence of a Function in a Dataset with the g3 Indicator. 607-620 - Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
Provenance-aware Discovery of Functional Dependencies on Integrated Views. 621-633 - Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu:
Linking Entities across Relations and Graphs. 634-647 - Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu:
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. 648-660 - Yuya Sasaki, George Fletcher, Makoto Onizuka:
Language-aware Indexing for Conjunctive Path Queries. 661-673 - Jiayu Lei, Zheng Zhang, Lan Zhang, Xiang-Yang Li:
COCA: Cost-Effective Collaborative Annotation System by Combining Experts and Amateurs. 674-685 - Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:
Reachability Labeling for Distributed Graphs. 686-698 - Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. 699-712 - Guanyao Li, Xiaofeng Wang, Gunarto Sindoro Njoo, Shuhan Zhong, S.-H. Gary Chan, Chih-Chieh Hung, Wen-Chih Peng:
A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction. 713-726 - Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. 727-740 - Yuyan Chen, Yanghua Xiao, Bang Liu:
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. 741-754 - Kaiqi Zhang, Hong Gao, Xixian Han, Jian Chen, Jianzhong Li:
Maximizing Range Sum in Trajectory Data. 755-766 - Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao, Yangming Zhao:
FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. 767-779 - Zijin Feng, Miao Qiao, Hong Cheng:
Clustering Activation Networks. 780-792 - Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Learning Evolvable Time-series Shapelets. 793-805 - Harshad Deshmukh, Bruhathi Sundarmurthy, Jignesh M. Patel:
On inter-operator data transfers in query processing. 820-832 - Sepideh Nikookar, Paras Sakharkar, Baljinder Smagh, Sihem Amer-Yahia, Senjuti Basu Roy:
Guided Task Planning Under Complex Constraints. 833-845 - Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska:
Estimating Node Importance Values in Heterogeneous Information Networks. 846-858 - Xiaochen Liu, Weiguo Zheng, Zhenyi Chen, Zhenying He, X. Sean Wang:
Querying Maximum Quasi-independent Set by Pay-and-Recycle. 859-871 - Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han:
Efficient Graph Isomorphism Query Processing using Degree Sequences and Color-Label Distributions. 872-884 - Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng:
A Resource-Aware Deep Cost Model for Big Data Query Processing. 885-897 - Wensheng Luo, Kenli Li, Xu Zhou, Yunjun Gao, Keqin Li:
Maximum Biplex Search over Bipartite Graphs. 898-910 - Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng:
Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. 911-923 - Akhil A. Dixit, Phokion G. Kolaitis:
Consistent Answers of Aggregation Queries via SAT. 924-937 - Libin Zheng, Peng Cheng, Lei Chen, Jianxing Yu, Xuemin Lin, Jian Yin:
Crowdsourced Fact Validation for Knowledge Bases. 938-950 - Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander:
CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. 951-964 - Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He:
Federated Learning on Non-IID Data Silos: An Experimental Study. 965-978 - Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng, Guihai Chen:
Bamboo Filters: Make Resizing Smooth. 979-991 - Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, Gang Pan:
T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. 992-1003 - Kai Yao, Lijun Chang, Lu Qin:
Computing Maximum Structural Balanced Cliques in Signed Graphs. 1004-1016 - Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao:
Black-box Adversarial Attack and Defense on Graph Neural Networks. 1017-1030 - Yuejia Zhang, Weiguo Zheng, Zhijie Zhang, Peng Peng, Xuecang Zhang:
Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems. 1031-1043 - Xiaoye Miao, Huanhuan Peng, Kai Chen, Yuchen Peng, Yunjun Gao, Jianwei Yin:
Maximizing Time-aware Welfare for Mixed Items. 1044-1057 - Naser Ahmadi, Hansjorg Sand, Paolo Papotti:
Unsupervised Matching of Data and Text. 1058-1070 - Cai Deng, Qi Chen, Xiangyu Zou, Erci Xu, Bo Tang, Wen Xia:
imDedup: A Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images. 1071-1084 - Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng:
Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings. 1085-1097 - Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders via Order Dependencies. 1098-1110 - Ghadeer Abuoda, Saravanan Thirumuruganathan, Ashraf Aboulnaga:
Accelerating Entity Lookups in Knowledge Graphs Through Embeddings. 1111-1123 - Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison:
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. 1124-1137 - Deming Chu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search. 1138-1151 - Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee:
Cost-Effective Algorithms for Average-Case Interactive Graph Search. 1152-1165 - Xiaoye Miao, Yue Liu, Lu Chen, Yunjun Gao, Jianwei Yin:
Reliable Community Search on Uncertain Graphs. 1166-1179 - Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. 1180-1192 - Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang:
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models. 1193-1205 - Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen:
Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem. 1206-1218 - Shuang Hao, Peng Li, Renzhi Wu, Xu Chu:
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. 1219-1231 - Panpan Qi, Dan Li, See-Kiong Ng:
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. 1232-1244 - Zhihao Chen, Qingqing Li, Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou:
BlockOPE: Efficient Order-Preserving Encryption for Permissioned Blockchain. 1245-1258 - Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
Contrastive Learning for Sequential Recommendation. 1259-1273 - Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang:
Towards Backdoor Attack on Deep Learning based Time Series Classification. 1274-1287 - Panagiotis Liakos, Katia Papakonstantinopoulou, Theodore Stefou, Alex Delis:
On Compressing Temporal Graphs. 1301-1313 - Jim Verheijde, Vassilios Karakoidas, Marios Fragkoulis, Asterios Katsifodimos:
S-QUERY: Opening the Black Box of Internal Stream Processor State. 1314-1327 - Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! 1328-1341 - Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen:
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. 1342-1354 - Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song:
HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. 1355-1367 - Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park:
Airphant: Cloud-oriented Document Indexing. 1368-1381 - Bruhathi Sundarmurthy, Harshad Deshmukh, Paris Koutris, Jeffrey F. Naughton:
Salvaging failing and straggling queries. 1382-1395 - Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu:
On Time-optimal (k, p)-core Community Search in Dynamic Graphs. 1396-1407 - Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon:
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. 1408-1422 - Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das:
Fairness-Aware Range Queries for Selecting Unbiased Data. 1423-1436 - Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. 1450-1462 - Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab:
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. 1463-1476 - Renjie Wu, Audrey Der, Eamonn J. Keogh:
When is Early Classification of Time Series Meaningful? (Extended Abstract). 1477-1478 - Renjie Wu, Eamonn J. Keogh:
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract). 1479-1480 - Xinrui Wang, Hong Gao, Zhipeng Cai, Jianzhong Li:
Who Should Deserve Investment? Attractive Individual and Group Search in Dynamic Information Networks (Extended Abstract). 1481-1482 - Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery (Extended abstract). 1483-1484 - Shiwei Wei, Yuping Wang, Yiu-ming Cheung:
A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract). 1485-1486 - Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian:
Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). 1487-1488 - Luming Sun, Cuiping Li, Tao Ji, Hong Chen:
MOSE: A Monotonic Selectivity Estimator Using Learned CDF (Extended abstract). 1489-1490 - Lin Chen, Jihong Yu:
Multiset Membership Lookup in Large Datasets (Extended abstract). 1491-1492 - Chen Chen, Yanping Wu, Renjie Sun, Xiaoyang Wang:
Maximum Signed $\theta$-Clique Identification in Large Signed Graphs (Extended abstract). 1493-1494 - Renjie Sun, Chen Chen, Xiaoyang Wang, Xun Wang:
Stable Community Detection in Signed Social Networks (Extended abstract). 1495-1496 - Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu:
Hierarchical Representation Learning for Attributed Networks. 1497-1498 - Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). 1499-1500 - Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen:
Continuous Trajectory Similarity Search for Online Outlier Detection (Extended Abstract). 1501-1502 - Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou:
SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration. 1503-1504 - Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong:
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract). 1505-1506 - Sergi Nadal, Alberto Abelló, Oscar Romero, Stijn Vansummeren, Panos Vassiliadis:
Graph-Driven Federated Data Management (Extended Abstract). 1507-1508 - Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment with Holistic Embeddings (Extended Abstract). 1509-1510 - Xubo Wang, Dong Wen, Lu Qin, Lijun Chang, Wenjie Zhang:
ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract). 1511-1512 - Jiewen Guan, Xin Huang, Bilian Chen:
Community-aware Social Recommendation: A Unified SCSVD Framework (Extended Abstract). 1513-1514 - Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan:
Core Decomposition on Uncertain Graphs Revisited (Extended Abstract). 1515-1516 - Josep Domingo-Ferrer, Jordi Soria-Comas:
Multi-Dimensional Randomized Response. 1517-1518 - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). 1519-1520 - Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng:
TwiCS: Twitter Stream Entity Mention Detection (Extended Abstract). 1521-1522 - Zhixin Qi, Hongzhi Wang, Haoran Zhang:
A Dual-Store Structure for Knowledge Graphs (Extended Abstract). 1523-1524 - Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao:
Platform-Oriented Event Time Allocation(Extended Abstract). 1525-1536 - Jiahao Zhang, Man Lung Yiu, Bo Tang, Qing Li:
Fast Error-Bounded Distance Distribution Computation (Extended Abstract). 1527-1528 - Shichao Pei, Lu Yu, Xiangliang Zhang:
Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). 1529-1530 - Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). 1531-1532 - Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). 1533-1534 - Yu Chen, Yong Zhang, Jin Wang, Jiacheng Wu, Chunxiao Xing:
Efficient EMD-based Similarity Search via Batch Pruning and Incremental Computation (Extended Abstract). 1535-1536 - Yu Liu, Lei Zou, Zhewei Wei:
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract). 1537-1538 - Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). 1539-1540 - Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla:
On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). 1541-1542 - Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du:
Fast Reachability Queries Answering based on RCN Reduction (Extended abstract). 1543-1544 - Chengbin Hou, Han Zhang, Shan He, Ke Tang:
GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). 1545-1546 - Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang:
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). 1547-1548 - Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong:
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). 1549-1550 - Seiya Jumonji, Kazuya Sakai, Min-Te Sun, Wei-Shinn Ku:
Privacy-Preserving Collaborative Filtering Using Fully Homomorphic Encryption. 1551-1552 - Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang:
Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). 1553-1554 - Lingxiao Li, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali, Adel Nadjaran Toosi:
Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks (Extended Abstract). 1555-1556 - Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu:
k-Pleased Querying (Extended Abstract). 1557-1558 - Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen:
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). 1559-1560 - Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). 1561-1562 - Chia-Yu Lo, Wen-Hsing Huang, Ming-Feng Ho, Min-Te Sun, Ling-Jyh Chen, Kazuya Sakai, Wei-Shinn Ku:
Recurrent Learning on $\text{PM}_{2.5}$ Prediction Based on Clustered Airbox Dataset: Extended Abstract. 1563-1564 - Dimitris Bertsimas, Vassilis Digalakis:
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (Extended Abstract). 1565-1566 - I-Chung Hsieh, Cheng-Te Li:
CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. 1567-1568 - Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu:
Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). 1569-1570 - Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng:
Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). 1571-1572 - Chen Chen, Ye Yuan, Zhenyu Wen, Guoren Wang, Anteng Li:
GQP: A Framework for Scalable and Effective Graph Query-based Pricing. 1573-1585 - Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang:
Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. 1586-1597 - Zhenxiao Luo, Lu Niu, Venki Korukanti, Yutian Sun, Masha Basmanova, Yi He, Beinan Wang, Devesh Agrawal, Hao Luo, Chunxu Tang, Ashish Singh, Yao Li, Peng Du, Girish Baliga, Maosong Fu:
From Batch Processing to Real Time Analytics: Running Presto® at Scale. 1598-1609 - Nicolas Bruno, Johnny Debrodt, Chujun Song, Wei Zheng:
Computation Reuse via Fusion in Amazon Athena. 1610-1620 - Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua:
Dynamic Hypergraph Convolutional Network. 1621-1634 - Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum:
Equi-Joins over Encrypted Data for Series of Queries. 1635-1648 - Arash Dargahi Nobari, Davood Rafiei:
Efficiently Transforming Tables for Joinability. 1649-1661 - Shu Lin, Arunprasad P. Marathe, Per-Åke Larson, Chong Chen, Calvin Sun, Paul Lee, Weidong Yu, Jianwei Li, Juncai Meng, Roulin Lin, Xiaoyang Chen, Qingping Zhu:
Near Data Processing in Taurus Database. 1662-1674 - Inju Na, Yang-Sae Moon, Ilyeop Yi, Kyu-Young Whang, Soon J. Hyun:
Regular Path Query Evaluation Sharing a Reduced Transitive Closure Based on Graph Reduction. 1675-1686 - Xu Zhou, Shiting Liang, Kenli Li, Yunjun Gao, Keqin Li:
Bilateral Preference-aware Task Assignment in Spatial Crowdsourcing. 1687-1699 - Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang:
TMN: Trajectory Matching Networks for Predicting Similarity. 1700-1713 - Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu:
Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. 1714-1726 - Fengmei Jin, Wen Hua, Boyu Ruan, Xiaofang Zhou:
Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. 1727-1739 - Feng Han, Lan Zhang, Hanwen Feng, Weiran Liu, Xiang-Yang Li:
Scape: Scalable Collaborative Analytics System on Private Database with Malicious Security. 1740-1753 - Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li:
HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. 1754-1766 - Yi Xie, Wen Li, Yuqing Sun, Elisa Bertino, Bin Gong:
Subspace Embedding Based New Paper Recommendation. 1767-1780 - Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong:
IPS: Instance Profile for Shapelet Discovery for Time Series Classification. 1781-1793 - Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen:
A Comparative Study of in-Database Inference Approaches. 1794-1807 - Xinying Yang, Sheng Wang, Feifei Li, Yuan Zhang, Wenyuan Yan, Fangyu Gai, Benquan Yu, Likai Feng, Qun Gao, Yize Li:
Ubiquitous Verification in Centralized Ledger Database. 1808-1821 - Guoxin Kang, Lei Wang, Wanling Gao, Fei Tang, Jianfeng Zhan:
OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems. 1822-1834 - Xiangyu Gao, Jianzhong Li, Dongjing Miao:
Dynamic Approximate Maximum Independent Set on Massive Graphs. 1835-1847 - Xingxing Xiao, Jianzhong Li:
Rank-Regret Minimization. 1848-1860 - Sagar Shedge, Nishant Sharma, Anant Agarwal, Mohammed Abouzour, Günes Aluç:
An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ. 1861-1873 - Yunfei Liu, Zhen Liu, Xiaodong Feng, Zhongyi Li:
Robust Attributed Network Embedding Preserving Community Information. 1874-1886 - Renjie Sun, Yanping Wu, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin:
Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs. 1887-1899 - Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou:
Maximal Directed Quasi -Clique Mining. 1900-1913 - Yunfan Kang, Amr Magdy:
EMP: Max-P Regionalization with Enriched Constraints. 1914-1926 - Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei:
vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. 1927-1940 - You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu:
Finding Top-r Influential Communities under Aggregation Functions. 1941-1954 - Zhirong Yuan, You Peng, Peng Cheng, Li Han, Xuemin Lin, Lei Chen, Wenjie Zhang:
Efficient $k-\text{clique}$ Listing with Set Intersection Speedup. 1955-1968 - Yuanyuan Zeng, Wangdong Yang, Xu Zhou, Guoqing Xiao, Yunjun Gao, Kenli Li:
Distributed Set Label-Constrained Reachability Queries over Billion-Scale Graphs. 1969-1981 - Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang:
Efficient Learning-based Community-Preserving Graph Generation. 1982-1994 - Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li:
Adaptive Code Learning for Spark Configuration Tuning. 1995-2007 - Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li:
Collecting Triangle Counts with Edge Relationship Local Differential Privacy. 2008-2020 - Luigi Bellomarini, Markus Nissl, Emanuel Sallinger:
iTemporal: An Extensible Generator of Temporal Benchmarks. 2021-2033 - Liuyin Wang, Xianghong Xu, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng:
Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. 2034-2045 - Xinbiao Gan, Yiming Zhang, Ruigeng Zeng, Jie Liu, Ruibo Wang, Tiejun Li, Li Chen, Kai Lu:
XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers. 2046-2059 - Ting Deng, Wenfei Fan, Ping Lu, Xiaomeng Luo, Xiaoke Zhu, Wanhe An:
Deep and Collective Entity Resolution in Parallel. 2060-2072 - Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan:
RW-Tree: A Learned Workload-aware Framework for R-tree Construction. 2073-2085 - En Wang, Yiheng Jiang, Yuanbo Xu, Liang Wang, Yongjian Yang:
Spatial-Temporal Interval Aware Sequential POI Recommendation. 2086-2098 - Chaoyu Gong, Yongbin Liu, Di Fu, Yong Liu, Pei-hong Wang, Yang You:
Self-reconstructive evidential clustering for high-dimensional data. 2099-2112 - Chaoyu Gong, Yongbin Li, Yong Liu, Pei-hong Wang, Yang You:
Joint Evidential $K$-Nearest Neighbor Classification. 2113-2126 - Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou:
Semantics Driven Embedding Learning for Effective Entity Alignment. 2127-2140 - Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen:
Influence-aware Task Assignment in Spatial Crowdsourcing. 2141-2153 - Shuai An, Yang Cao, Wenyue Zhao:
Competitive Consistent Caching for Transactions. 2154-2167 - Guanghui Zhu, Wenjie Wang, Zhuoer Xu, Feng Cheng, Mengchuan Qiu, Chunfeng Yuan, Yihua Huang:
PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search. 2168-2181 - Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang:
Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. 2182-2195 - Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Shifu Li, Tianqing Wang, Jianhua Feng:
AutoIndex: An Incremental Index Management System for Dynamic Workloads. 2196-2208 - Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. 2209-2223 - Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. 2224-2236 - Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad:
Distributed Task-Based Training of Tree Models. 2237-2249 - Yao Tian, Xi Zhao, Xiaofang Zhou:
DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing. 2250-2262 - Maria Massri, Zoltán Miklós, Philippe Raipin Parvédy, Pierre Meye:
Clock-G: A temporal graph management system with space-efficient storage technique. 2263-2276 - Chrysanthi Kosyfaki, Nikos Mamoulis:
Provenance in Temporal Interaction Networks. 2277-2290 - Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li:
Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs. 2291-2305 - Huajun He, Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng:
TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores. 2306-2318 - Shinhwan Kang, Kyuhan Lee, Kijung Shin:
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications. 2319-2332 - Gengda Zhao, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yizhang He:
Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs. 2333-2345 - Aman Abidi, Lu Chen, Chengfei Liu, Rui Zhou:
On Maximising the Vertex Coverage for Top-k t-Bicliques in Bipartite Graphs. 2346-2358 - Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu:
Synthesizing Privacy Preserving Entity Resolution Datasets. 2359-2371 - Bolong Zheng, Jingyi Wan, Yongyong Gao, Yong Ma, Kai Huang, Xiaofang Zhou, Christian S. Jensen:
Workload-Aware Shortest Path Distance Querying in Road Networks. 2372-2384 - Nico Schäfer, Sebastian Michel:
BETZE: Benchmarking Data Exploration Tools with (Almost) Zero Effort. 2385-2398 - Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu:
Evolutionary Clustering of Moving Objects. 2399-2411 - Marcelo Arenas, Pedro Bahamondes, Amir Aghasadeghi, Julia Stoyanovich:
Temporal Regular Path Queries. 2412-2425 - Kanchan Chowdhury, Venkata Vamsikrishna Meduri, Mohamed Sarwat:
A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets. 2426-2439 - Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Horizontal Federated Learning. 2440-2453 - Jun-Gi Jang, U Kang:
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. 2454-2467 - Ruiyuan Li, Liang Zhang, Juan Pan, Junwen Liu, Peng Wang, Nianjun Sun, Shanmin Wang, Chao Chen, Fuqiang Gu, Songtao Guo:
Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding. 2468-2480 - Rui Kang, Shaoxu Song, Chaokun Wang:
Conditional Regression Rules. 2481-2493 - Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. 2494-2507 - Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu:
LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. 2508-2521 - Yuedan Chen, Guoqing Xiao, M. Tamer Özsu, Zhuo Tang, Albert Y. Zomaya, Kenli Li:
Exploiting Hierarchical Parallelism and Reusability in Tensor Kernel Processing on Heterogeneous HPC Systems. 2522-2535 - Ye Yuan, Delong Ma, Aoqian Zhang, Guoren Wang:
Consistent Subgraph Matching over Large Graphs. 2536-2548 - Xiaoze Liu, Zheng Yin, Chao Zhao, Congcong Ge, Lu Chen, Yunjun Gao, Dimeng Li, Ziting Wang, Gaozhong Liang, Jian Tan, Feifei Li:
PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases. 2549-2561 - Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Dynamic Model Tree for Interpretable Data Stream Learning. 2562-2574 - Yonghai Gong, Yichuan Li, Nikolaos M. Freris:
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. 2575-2587 - Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang:
Colorful h-star Core Decomposition. 2588-2601 - Wangze Ni, Peng Cheng, Lei Chen:
Mixing Transactions with Arbitrary Values on Blockchains. 2602-2614 - Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui:
TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting. 2615-2628 - Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen:
Out-of-Core Edge Partitioning at Linear Run-Time. 2629-2642 - Dazhong Rong, Shuai Ye, Ruoyan Zhao, Hon Ning Yuen, Jianhai Chen, Qinming He:
FedRecAttack: Model Poisoning Attack to Federated Recommendation. 2643-2655 - Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong:
Scalable Motif Counting for Large-scale Temporal Graphs. 2656-2668 - Harish Doraiswamy, Juliana Freire:
SPADE: GPU-Powered Spatial Database Engine for Commodity Hardware. 2669-2681 - Kai Zou, Xike Xie, Qi Li, Deyu Kong:
GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing. 2682-2694 - Oren Kalinsky, Aidan Hogan, Oren Mishali, Yoav Etsion, Benny Kimelfeld:
Exploration of Knowledge Graphs via Online Aggregation. 2695-2708 - Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava:
Effective Explanations for Entity Resolution Models. 2709-2721 - Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou:
Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates. 2722-2734 - Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu:
SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. 2735-2748 - Wentao Li, Min Gao, Dong Wen, Hongwei Zhou, Cai Ke, Lu Qin:
Manipulating Structural Graph Clustering. 2749-2761 - Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang:
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. 2762-2775 - Yueting Chen, Xiaohui Yu, Nick Koudas:
Ranked Window Query Retrieval over Video Repositories. 2776-2791 - Ming Chen, Renxiang Zhou, Hanhua Chen, Jiang Xiao, Hai Jin, Bo Li:
Horae: A Graph Stream Summarization Structure for Efficient Temporal Range Query. 2792-2804 - Yudong Niu, Yuchen Li, Ju Fan, Zhifeng Bao:
Local Clustering over Labeled Graphs: An Index-Free Approach. 2805-2817 - Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao:
Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. 2818-2830 - Lingkai Meng, Long Yuan, Zi Chen, Xuemin Lin, Shiyu Yang:
Index-based Structural Clustering on Directed Graphs. 2831-2844 - Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ying-Liang Lu, Ming-Syan Chen:
Epidemic Spread Optimization for Disease Containment with NPIs and Vaccination. 2845-2858 - Wei Cao, Feifei Li, Gui Huang, Jianghang Lou, Jianwei Zhao, Dengcheng He, Mengshi Sun, Yingqiang Zhang, Sheng Wang, Xueqiang Wu, Han Liao, Zilin Chen, Xiaojian Fang, Mo Chen, Chenghui Liang, Yanxin Luo, Huanming Wang, Songlei Wang, Zhanfeng Ma, Xinjun Yang, Xiang Peng, Yubin Ruan, Yuhui Wang, Jie Zhou, Jianying Wang, Qingda Hu, Junbin Kang:
PolarDB-X: An Elastic Distributed Relational Database for Cloud-Native Applications. 2859-2872 - Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. 2873-2885 - Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang:
Micro-Behavior Encoding for Session-based Recommendation. 2886-2899 - Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan:
Towards Spatio- Temporal Aware Traffic Time Series Forecasting. 2900-2913 - Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu:
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. 2914-2927 - Aécio S. R. Santos, Aline Bessa, Christopher Musco, Juliana Freire:
A Sketch-based Index for Correlated Dataset Search. 2928-2941 - Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao:
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. 2942-2955 - Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. 2956-2968 - John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin:
Fast Adaptive Similarity Search through Variance-Aware Quantization. 2969-2983 - Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. 2984-2996 - Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira, Onur Mutlu:
Polynesia: Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Co-Design. 2997-3011 - Zhengyu Chen, Teng Xiao, Kun Kuang:
BA-GNN: On Learning Bias-Aware Graph Neural Network. 3012-3024 - Jing Zhao, Peng Wang, Bo Tang, Lu Liu, Chen Wang, Wei Wang, Jianmin Wang:
Constructing Compact Time Series Index for Efficient Window Query Processing. 3025-3037 - Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng:
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. 3038-3050 - Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das:
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. 3051-3064 - Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. 3065-3077 - Haoqiong Bian, Anastasia Ailamaki:
Pixels: An Efficient Column Store for Cloud Data Lakes. 3078-3090 - Diego Arroyuelo, Aidan Hogan, Gonzalo Navarro, Javiel Rojas-Ledesma:
Time- and Space-Efficient Regular Path Queries. 3091-3105 - Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu:
Subgraph Query Generation with Fairness and Diversity Constraints. 3106-3118 - Xiaoliang Wang, Peiquan Jin, Bei Hua, Hai Long, Wei Huang:
Reducing Write Amplification of LSM-Tree with Block-Grained Compaction. 3119-3131 - Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). 3132-3133 - Bo Tang, Jian Zeng, Qiandong Tang, Chuan Yang, Qiaomu Shen, Leong Hou U, Xiao Yan, Dan Zeng:
CheetahKG: A Demonstration for Core-based Top-$k$ Frequent Pattern Discovery on Knowledge Graphs. 3134-3137 - Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu:
How Learning Can Help Complex Cyclic Join Decomposition. 3138-3141 - Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han:
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. 3142-3145 - Mashaal Musleh, Mohamed F. Mokbel:
A Demonstration of RASED: A Scalable Dashboard for Monitoring Road Network Updates in OSM. 3146-3149 - Jiazun Chen, Jun Gao:
VICS-GNN: A Visual Interactive System for Community Search via Graph Neural Network. 3150-3153 - Gaël Marcadet, Radu Ciucanu, Pascal Lafourcade, Marta Soare, Sihem Amer-Yahia:
Samba: A System for Secure Federated Multi-Armed Bandits. 3154-3157 - Zhengjie Ji, Edward Choi, Peng Gao:
A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition. 3158-3161 - Pei Li, Jessica Jessica, Naida Tania, Michael H. Böhlen, Divesh Srivastava, Jaroslaw Szlichta:
abcOD: Mining Band Order Dependencies. 3162-3165 - Min Fang, Xinna Zhou, Zhao Zhang, Cheqing Jin, Aoying Zhou:
SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain. 3166-3169 - Arthur Bernhardt, Sajjad Tamimi, Tobias Vinçon, Christian Knödler, Florian Stock, Carsten Heinz, Andreas Koch, Ilia Petrov:
neoDBMS: In-situ Snapshots for Multi-Version DBMS on Native Computational Storage. 3170-3173 - Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen:
exRumourLens: Auditable Rumour Detection with Multi-View Explanations. 3174-3177 - Tobias Müller, Pascal Engel:
How, Where, and Why Data Provenance Improves Query Debugging: A Visual Demonstration of Fine-Grained Provenance Analysis for SQL. 3178-3181 - Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu:
IKAROS: An Indoor Keyword-Aware Routing System. 3182-3185 - Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Farming Your ML-based Query Optimizer's Food. 3186-3189 - Vasilis Mageirakos, Riccardo Mancini, Srinivas Karthik, Bikash Chandra, Anastasia Ailamaki:
Efficient GPU-accelerated Join Optimization for Complex Queries. 3190-3193 - Herodotos Herodotou, Lambros Odysseos, Yuxing Chen, Jiaheng Lu:
Automatic Performance Tuning for Distributed Data Stream Processing Systems. 3194-3197 - Guoliang Li, Xuanhe Zhou:
Machine Learning for Data Management: A System View. 3198-3201 - Dhaval Patel, Dzung Phan, Markus Mueller:
Time Series Anomaly Detection Toolkit for Data Scientist. 3202-3204 - Nikolaos Tziavelis, Wolfgang Gatterbauer, Mirek Riedewald:
Toward Responsive DBMS: Optimal Join Algorithms, Enumeration, Factorization, Ranking, and Dynamic Programming. 3205-3208 - Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi:
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. 3209-3212 - Dimitris Tsesmelis, Alkis Simitsis:
Database Optimizers in the Era of Learning. 3213-3216 - Mohammed Al-Kateb, Mohamed Y. Eltabakh, Awny Al-Omari, Paul G. Brown:
Analytics at Scale: Evolution at Infrastructure and Algorithmic Levels. 3217-3220 - Jia Wei, Xingjun Zhang:
How Much Storage Do We Need for High Performance Server. 3221-3225 - Yoram Segal, Ofer Hadar:
Constructing a skeleton database and enriching it using a Generative Adversarial Network (GAN) simulator to assess human movement. 3226-3229 - Kheng Kua:
Novel Methods for Aggregating Analyst Estimates. 3230-3235 - Kamal Kant, Sarvesh Pandey, Udai Shanker:
A Journey from Commit Processing in Distributed Databases to Consensus in Blockchain. 3236-3240 - Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng:
Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories. 3241-3253 - Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo:
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. 3254-3267 - Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen:
Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems. 3268-3279 - Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. 3280-3293 - Shuncheng Liu, Zhi Xu, Huimin Ren, Tianfu He, Boyang Han, Jie Bao, Kai Zheng, Yu Zheng:
Detecting Loaded Trajectories for Hazardous Chemicals Transportation. 3294-3306 - Sinan Wang, Yumeng Li, Hongyan Li, Tanchao Zhu, Zhao Li, Wenwu Ou:
Multi-Task Learning with Calibrated Mixture of Insightful Experts. 3307-3319 - Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. 3320-3326 - Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. 3327-3339 - Yuyuan Kang, Xiangdong Huang, Shaoxu Song, Lingzhe Zhang, Jialin Qiao, Chen Wang, Jianmin Wang, Julian Feinauer:
Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree. 3340-3352 - Namhyuk Kim, Junho Song, Siyoung Lee, Jaewon Choe, Kyungsik Han, Sunghwan Park, Sang-Wook Kim:
APOTS: A Model for Adversarial Prediction of Traffic Speed. 3353-3359 - Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang:
Feature Augmentation with Reinforcement Learning. 3360-3372 - Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob:
Rule Learning over Knowledge Graphs with Genetic Logic Programming. 3373-3385 - Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim:
AiRS: A Large-Scale Recommender System at NAVER News. 3386-3398 - Han Wu, Hongzhe Zhang, Liangyue Li, Zulong Chen, Fanwei Zhu, Xiao Fang:
Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction. 3399-3412 - Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong:
Field-aware Variational Autoencoders for Billion-scale User Representation Learning. 3413-3425 - Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. 3426-3438 - Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. 3439-3452 - Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng:
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. 3453-3466 - Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong:
Knowledge Enhanced Person-Job Fit for Talent Recruitment. 3467-3480 - Jia Xu, Jin Huang, Zulong Chen, Yang Li, Wanjie Tao, Chuanfei Xu:
ODNET: A Novel Personalized Origin-Destination Ranking Network for Flight Recommendation. 3481-3493 - Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
FAIR-DB: A system to discover unfairness in datasets. 3494-3497
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