2025
Graph Data Management and Graph Machine Learning: Synergies and Opportunities.
CoRR, February, 2025
Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding.
IEEE Trans. Knowl. Data Eng., January, 2025
2024
View-based Explanations for Graph Neural Networks.
Proc. ACM Manag. Data, February, 2024
Data depth and core-based trend detection on blockchain transaction networks.
Frontiers Blockchain, 2024
Logical Consistency of Large Language Models in Fact-checking.
CoRR, 2024
Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation.
CoRR, 2024
LLM+KG@VLDB'24 Workshop Summary.
CoRR, 2024
Machine Learning for Blockchain Data Analysis: Progress and Opportunities.
CoRR, 2024
Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
View-based Explanations for Graph Neural Networks (Extended Abstract).
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024
Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Estimate and Reduce Uncertainty in Uncertain Graphs.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Knowledge Graphs for Responsible AI.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Knowledge Graphs Querying.
SIGMOD Rec., June, 2023
Distributed Graph Embedding with Information-Oriented Random Walks.
Proc. VLDB Endow., 2023
Neighborhood-based Hypergraph Core Decomposition.
Proc. VLDB Endow., 2023
A Summary of ICDE 2022 Research Session Panels.
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IEEE Data Eng. Bull., 2023
Core-based Trend Detection in Blockchain Networks.
CoRR, 2023
Most Probable Densest Subgraphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Voting-based Opinion Maximization.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
A Demonstration of Interpretability Methods for Graph Neural Networks.
Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2023
Interpretability Methods for Graph Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2022
Reliability Maximization in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2022
Multi-relation Graph Summarization.
ACM Trans. Knowl. Discov. Data, 2022
Efficiently embedding dynamic knowledge graphs.
Knowl. Based Syst., 2022
Automating ETL and Mining of Ethereum Blockchain Network.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement.
Proceedings of the GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2022
Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning.
Proceedings of the Complex Networks and Their Applications XI, 2022
Graph-based Management and Mining of Blockchain Data.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work.
Proceedings of the IEEE International Conference on Blockchain, 2022
2021
Shortest Paths and Centrality in Uncertain Networks.
Proc. VLDB Endow., 2021
Temporal Analysis of the Entire Ethereum Blockchain Network.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Reliability Maximization in Uncertain Graphs (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Online Updates of Knowledge Graph Embedding.
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021
Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks.
IEEE Trans. Knowl. Data Eng., 2020
Mining Top-k Pairs of Correlated Subgraphs in a Large Network.
Proc. VLDB Endow., 2020
Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Densely Connected User Community and Location Cluster Search in Location-Based Social Networks.
Proceedings of the 2020 International Conference on Management of Data, 2020
K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
An Evaluation of Backpropagation Interpretability for Graph Classification with Deep Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the Encyclopedia of Big Data Technologies., 2019
An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs.
Proc. VLDB Endow., 2019
Efficiently Embedding Dynamic Knowledge Graphs.
CoRR, 2019
Budgeted Reliability Maximization in Uncertain Graphs.
CoRR, 2019
Distance-generalized Core Decomposition.
Proceedings of the 2019 International Conference on Management of Data, 2019
Maximizing Contrasting Opinions in Signed Social Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01860-2, 2018
Conditional Reliability in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2018
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors.
Proc. VLDB Endow., 2018
Composite Hashing for Data Stream Sketches.
CoRR, 2018
Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach.
CoRR, 2018
On Smart Query Routing: For Distributed Graph Querying with Decoupled Storage.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018
Inf2vec: Latent Representation Model for Social Influence Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Steering Top-k Influencers in Dynamic Graphs via Local Updates.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Toward query-friendly compression of rapid graph streams.
Soc. Netw. Anal. Min., 2017
Summarizing Static and Dynamic Big Graphs.
Proc. VLDB Endow., 2017
Probabilistic Entity Resolution with Imperfect Crowd.
CoRR, 2017
Vertex-Centric Graph Processing: Good, Bad, and the Ugly.
Proceedings of the 20th International Conference on Extending Database Technology, 2017
Select Your Questions Wisely: For Entity Resolution With Crowd Errors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Big-Graphs: Querying, Mining, and Beyond.
Proceedings of the Handbook of Big Data Technologies, 2017
2016
Let's Do Smart Routing: For Distributed Graph Querying with Decoupled Storage.
CoRR, 2016
Augmented Sketch: Faster and More Accurate Stream Processing.
Proceedings of the 2016 International Conference on Management of Data, 2016
Revenue maximization by viral marketing: A social network host's perspective.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Towards Querying Uncertain Graphs.
Proceedings of the 21st International Conference on Management of Data, 2016
Towards Time-Discounted Influence Maximization.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Query-friendly compression of graph streams.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Querying Knowledge Graphs by Example Entity Tuples.
IEEE Trans. Knowl. Data Eng., 2015
On Uncertain Graphs Modeling and Queries.
Proc. VLDB Endow., 2015
Top-k representative queries with binary constraints.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015
Top-k Reliable Edge Colors in Uncertain Graphs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Towards indexing functions: answering scalar product queries.
Proceedings of the International Conference on Management of Data, 2014
Towards a Query-by-Example System for Knowledge Graphs.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014
GQBE: Querying knowledge graphs by example entity tuples.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
Fast Reliability Search in Uncertain Graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014
2013
NeMa: Fast Graph Search with Label Similarity.
Proc. VLDB Endow., 2013
2012
Towards effective partition management for large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Workload characterization and prediction in the cloud: A multiple time series approach.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012
Emerging Graph Queries in Linked Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Finding Skyline Nodes in Large Networks.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012
Density index and proximity search in large graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Neighborhood based fast graph search in large networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
On Flow Authority Discovery in Social Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
2010
Towards proximity pattern mining in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010
2008
Undersea wireless sensor network for ocean pollution prevention.
Proceedings of the Third International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2008), 2008