Propagating functional dependencies with conditions. - Wenfei Fan; Shuai Ma 001; Yanli Hu; Jie Liu; Yinghui Wu 001 (Proc. VLDB Endow., 2008)

Graph Pattern Matching: From Intractable to Polynomial Time. - Wenfei Fan; Jianzhong Li 001; Shuai Ma 001; Nan Tang 001; Yinghui Wu 001; Yunpeng Wu (Proc. VLDB Endow., 2010)

Graph Homomorphism Revisited for Graph Matching. - Wenfei Fan; Jianzhong Li 001; Shuai Ma 001; Hongzhi Wang 001; Yinghui Wu 001 (Proc. VLDB Endow., 2010)

Incremental graph pattern matching. - Wenfei Fan; Jianzhong Li 001; Jizhou Luo; Zijing Tan; Xin Wang 064; Yinghui Wu 001 (SIGMOD Conference, 2011)

Extending graph homomorphism and simulation for real life graph matching. - Yinghui Wu 001 (2011)

Emerging Graph Queries in Linked Data. - Arijit Khan 001; Yinghui Wu 001; Xifeng Yan (ICDE, 2012)

Inferring the Underlying Structure of Information Cascades. - Bo Zong; Yinghui Wu 001; Ambuj K. Singh; Xifeng Yan (ICDM, 2012)

Query preserving graph compression. - Wenfei Fan; Jianzhong Li 001; Xin Wang 064; Yinghui Wu 001 (SIGMOD Conference, 2012)

Adding regular expressions to graph reachability and pattern queries. - Wenfei Fan; Jianzhong Li 001; Shuai Ma 001; Nan Tang 001; Yinghui Wu 001 (Frontiers Comput. Sci., 2012)

Performance Guarantees for Distributed Reachability Queries. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (Proc. VLDB Endow., 2012)

ExpFinder: Finding experts by graph pattern matching. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (ICDE, 2013)

Ontology-based subgraph querying. - Yinghui Wu 001; Shengqi Yang; Xifeng Yan (ICDE, 2013)

On the aggregation problem for synthesized Web services. - Ting Deng; Wenfei Fan; Leonid Libkin; Yinghui Wu 001 (J. Comput. Syst. Sci., 2013)

Diversified Top-k Graph Pattern Matching. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (Proc. VLDB Endow., 2013)

NeMa: Fast Graph Search with Label Similarity. - Arijit Khan 001; Yinghui Wu 001; Charu C. Aggarwal; Xifeng Yan (Proc. VLDB Endow., 2013)

Summarizing Answer Graphs Induced by Keyword Queries. - Yinghui Wu 001; Shengqi Yang; Mudhakar Srivatsa; Arun Iyengar; Xifeng Yan (Proc. VLDB Endow., 2013)

Incremental graph pattern matching. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (ACM Trans. Database Syst., 2013)

Answering graph pattern queries using views. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (ICDE, 2014)

Towards scalable critical alert mining. - Bo Zong; Yinghui Wu 001; Jie Song; Ambuj K. Singh; Hasan Çam; Jiawei Han 001; Xifeng Yan (KDD, 2014)

Querying big graphs within bounded resources. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (SIGMOD Conference, 2014)

SLQ: a user-friendly graph querying system. - Shengqi Yang; Yanan Xie; Yinghui Wu 001; Tianyi Wu; Huan Sun 001; Jian Wu 001; Xifeng Yan (SIGMOD Conference, 2014)

Distributed Graph Simulation: Impossibility and Possibility. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001; Dong Deng 001 (Proc. VLDB Endow., 2014)

Schemaless and Structureless Graph Querying. - Shengqi Yang; Yinghui Wu 001; Huan Sun 001; Xifeng Yan (Proc. VLDB Endow., 2014)

Association Rules with Graph Patterns. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001; Jingbo Xu 001 (Proc. VLDB Endow., 2015)

Fast top-k search in knowledge graphs. - Shengqi Yang; Fangqiu Han; Yinghui Wu 001; Xifeng Yan (ICDE, 2016)

Mining Summaries for Knowledge Graph Search. - Qi Song 004; Yinghui Wu 001; Xin Luna Dong (ICDM, 2016)

Adding Counting Quantifiers to Graph Patterns. - Wenfei Fan; Yinghui Wu 001; Jingbo Xu 001 (SIGMOD Conference, 2016)

Functional Dependencies for Graphs. - Wenfei Fan; Yinghui Wu 001; Jingbo Xu 001 (SIGMOD Conference, 2016)

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. - Lawrence B. Holder; Rajmonda Sulo Caceres; David F. Gleich; E. Jason Riedy; Maleq Khan; Nitesh V. Chawla; Ravi Kumar 001; Yinghui Wu 001; Christine Klymko; Tina Eliassi-Rad; B. Aditya Prakash (SIGKDD Explor., 2016)

Answering Pattern Queries Using Views. - Wenfei Fan; Xin Wang 064; Yinghui Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Learning to Speed Up Query Planning in Graph Databases. - Mohammad Hossein Namaki; F. A. Rezaur Rahman Chowdhury; Md. Rakibul Islam 001; Janardhan Rao Doppa; Yinghui Wu 001 (ICAPS, 2017)

Event pattern discovery by keywords in graph streams. - Mohammad Hossein Namaki; Peng Lin; Yinghui Wu 001 (IEEE BigData, 2017)

Discovering Graph Temporal Association Rules. - Mohammad Hossein Namaki; Yinghui Wu 001; Qi Song 004; Peng Lin; Tingjian Ge (CIKM, 2017)

BEAMS: Bounded Event Detection in Graph Streams. - Mohammad Hossein Namaki; Keyvan Sasani; Yinghui Wu 001; Tingjian Ge (ICDE, 2017)

Parallelizing Sequential Graph Computations. - Wenfei Fan; Jingbo Xu 001; Yinghui Wu 001; Wenyuan Yu; Jiaxin Jiang; Zeyu Zheng; Bohan Zhang; Yang Cao 012; Chao Tian 001 (SIGMOD Conference, 2017)

Performance Prediction for Graph Queries. - Mohammad Hossein Namaki; Keyvan Sasani; Yinghui Wu 001; Assefaw Hadish Gebremedhin (NDA@SIGMOD, 2017)

GRAPE: Conducting Parallel Graph Computations without Developing Parallel Algorithms. - Wenfei Fan; Jingbo Xu 001; Xiaojian Luo; Yinghui Wu 001; Wenyuan Yu; Ruiqi Xu (IEEE Data Eng. Bull., 2017)

GRAPE: Parallelizing Sequential Graph Computations. - Wenfei Fan; Jingbo Xu 001; Yinghui Wu 001; Wenyuan Yu; Jiaxin Jiang (Proc. VLDB Endow., 2017)

Diversified Keyword Expansion on Multi-labeled Graphs. - Mohammad Hossein Namaki; Yinghui Wu 001; Xin Zhang (APWeb/WAIM (1), 2018)

TGNet: Learning to Rank Nodes in Temporal Graphs. - Qi Song 004; Bo Zong; Yinghui Wu 001; Lu-An Tang; Hui Zhang 002; Guofei Jiang; Haifeng Chen (CIKM, 2018)

Discovering Graph Patterns for Fact Checking in Knowledge Graphs. - Peng Lin; Qi Song 004; Jialiang Shen; Yinghui Wu 001 (DASFAA (1), 2018)

Multi-metric Graph Query Performance Prediction. - Keyvan Sasani; Mohammad Hossein Namaki; Yinghui Wu 001; Assefaw Hadish Gebremedhin (DASFAA (1), 2018)

Cyber Physical Security Analytics for Anomalies in Transmission Protection Systems. - Arman Ahmed; Vignesh V. G. Krishnan; S. Armina Foroutan; Md Touhiduzzaman; Anurag Srivastava 001; Yinghui Wu 001; Adam Hahn; S. Sindhu (IAS, 2018)

GExp: Cost-aware Graph Exploration with Keywords. - Mohammad Hossein Namaki; Yinghui Wu 001; Xin Zhang (SIGMOD Conference, 2018)

Percolator: Scalable Pattern Discovery in Dynamic Graphs. - Sutanay Choudhury; Sumit Purohit; Peng Lin; Yinghui Wu 001; Lawrence B. Holder; Khushbu Agarwal (WSDM, 2018)

Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns. - Peng Lin; Qi Song 004; Yinghui Wu 001 (Data Sci. Eng., 2018)

From Think Parallel to Think Sequential. - Wenfei Fan; Yang Cao 012; Jingbo Xu 001; Wenyuan Yu; Yinghui Wu 001; Chao Tian 001; Jiaxin Jiang; Bohan Zhang (SIGMOD Rec., 2018)

Mining Summaries for Knowledge Graph Search. - Qi Song 004; Yinghui Wu 001; Peng Lin; Xin Dong 001; Hui Sun (IEEE Trans. Knowl. Data Eng., 2018)

Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach. - Xuanming Liu; Tingjian Ge; Yinghui Wu 001 (ICDE, 2019)

Answering Why-Questions for Subgraph Queries in Multi-attributed Graphs. - Qi Song 004; Mohammad Hossein Namaki; Yinghui Wu 001 (ICDE, 2019)

Attribute-Driven Backbone Discovery. - Sheng Guan; Hanchao Ma; Yinghui Wu 001 (KDD, 2019)

NAVIGATE: Explainable Visual Graph Exploration by Examples. - Mohammad Hossein Namaki; Qi Song 004; Yinghui Wu 001 (SIGMOD Conference, 2019)

Answering Why-questions by Exemplars in Attributed Graphs. - Mohammad Hossein Namaki; Qi Song 004; Yinghui Wu 001; Shengqi Yang (SIGMOD Conference, 2019)

Discovering Patterns for Fact Checking in Knowledge Graphs. - Peng Lin; Qi Song 004; Yinghui Wu 001; Jiaxing Pi (ACM J. Data Inf. Qual., 2019)

Ontology-based Entity Matching in Attributed Graphs. - Hanchao Ma; Morteza Alipour Langouri; Yinghui Wu 001; Fei Chiang; Jiaxing Pi (Proc. VLDB Endow., 2019)

Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection. - Mengze Zhou; Yuhui Wang; Anurag K. Srivastava 001; Yinghui Wu 001; Paramarshi Banerjee (IEEE Trans. Smart Grid, 2019)

Graph Exploration and Search. - Davide Mottin; Yinghui Wu 001 (Encyclopedia of Big Data Technologies, 2019)

Graph Pattern Matching. - Yinghui Wu 001; Arijit Khan 001 (Encyclopedia of Big Data Technologies, 2019)

GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs. - Sheng Guan; Peng Lin; Hanchao Ma; Yinghui Wu 001 (IEEE BigData, 2020)

Repairing Entities using Star Constraints in Multirelational Graphs. - Peng Lin; Qi Song 004; Yinghui Wu 001; Jiaxing Pi (ICDE, 2020)

Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams. - Mohammad Hossein Namaki; Xin Zhang; Sukhjinder Singh; Arman Ahmed; Armina Foroutan; Yinghui Wu 001; Anurag K. Srivastava 001; Anton Kocheturov (ICDE, 2020)

Vamsa: Automated Provenance Tracking in Data Science Scripts. - Mohammad Hossein Namaki; Avrilia Floratou; Fotis Psallidas; Subru Krishnan; Ashvin Agrawal; Yinghui Wu 001; Yiwen Zhu; Markus Weimer (KDD, 2020)

Vamsa: Tracking Provenance in Data Science Scripts. - Mohammad Hossein Namaki; Avrilia Floratou; Fotis Psallidas; Subru Krishnan; Ashvin Agrawal; Yinghui Wu 001 (CoRR, 2020)

Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems. - Ahmad Maroof Karimi; Yinghui Wu 001; Mehmet Koyutürk; Roger H. French (AAAI, 2021)

Explaining Missing Data in Graphs: A Constraint-based Approach. - Qi Song 004; Peng Lin; Hanchao Ma; Yinghui Wu 001 (ICDE, 2021)

GRIP: Constraint-based Explanation of Missing Answers for Graph Queries. - Qi Song 004; Hanchao Ma; Peng Lin; Yinghui Wu 001 (SIGMOD Conference, 2021)

Temporal Graph Functional Dependencies - Technical Report. - Morteza Alipour Langouri; Adam Mansfield; Fei Chiang; Yinghui Wu 001 (CoRR, 2021)

GEDet: Detecting Erroneous Nodes with A Few Examples. - Sheng Guan; Hanchao Ma; Sutanay Choudhury; Yinghui Wu 001 (Proc. VLDB Endow., 2021)

Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams. - Arman Ahmed; K. Sadanandan Sajan; Anurag Srivastava 001; Yinghui Wu 001 (IEEE Trans. Smart Grid, 2021)

System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems. - Liangyi Huang; Sophia Hall; Fei Shao; Arafath Nihar; Vipin Chaudhary; Yinghui Wu 001; Roger H. French; Xusheng Xiao (CIKM, 2022)

CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. - Mengying Wang 001; Hanchao Ma; Abhishek Daundkar; Sheng Guan; Yiyang Bian; Alp Sehirlioglu; Yinghui Wu 001 (CIKM, 2022)

Subgraph Query Generation with Fairness and Diversity Constraints. - Hanchao Ma; Sheng Guan; Mengying Wang 001; Yen-Shuo Chang; Yinghui Wu 001 (ICDE, 2022)

RoboGNN: Robustifying Node Classification under Link Perturbation. - Sheng Guan; Hanchao Ma; Yinghui Wu 001 (IJCAI, 2022)

Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. - Sayak Mukherjee; Sai Pushpak Nandanoori; Sheng Guan; Khushbu Agarwal; Subhrajit Sinha; Soumya Kundu; Seemita Pal; Yinghui Wu 001; Draguna L. Vrabie; Sutanay Choudhury (LoG, 2022)

Diversified Subgraph Query Generation with Group Fairness. - Hanchao Ma; Sheng Guan; Christopher Toomey; Yinghui Wu 001 (WSDM, 2022)

Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. - Sai Pushpak Nandanoori; Sheng Guan; Soumya Kundu; Seemita Pal; Khushbu Agarwal; Yinghui Wu 001; Sutanay Choudhury (IEEE Access, 2022)

A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs. - Xuanming Liu; Tingjian Ge; Yinghui Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Answering Why-Questions for Subgraph Queries. - Qi Song 004; Mohammad Hossein Namaki; Peng Lin; Yinghui Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets. - David C. Meshnick; Nahal Shahini; Debargha Ganguly; Yinghui Wu 001; Roger H. French; Vipin Chaudhary (IEEE Big Data, 2023)

Selecting Top-k Data Science Models by Example Dataset. - Mengying Wang 001; Sheng Guan; Hanchao Ma; Yiyang Bian; Haolai Che; Abhishek Daundkar; Alp Sehirlioglu; Yinghui Wu 001 (CIKM, 2023)

Accelerating Time to Science using CRADLE: A Framework for Materials Data Science. - Arafath Nihar; Thomas G. Ciardi; Rounak Chawla; Olatunde Akanbi; Vipin Chaudhary; Yinghui Wu 001; Roger H. French (HiPC, 2023)

GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs. - Sheng Guan; Hanchao Ma; Mengying Wang 001; Yinghui Wu 001 (ICDE, 2023)

Inconsistency Detection with Temporal Graph Functional Dependencies. - Morteza Alipour Langouri; Adam Mansfield; Fei Chiang; Yinghui Wu 001 (ICDE, 2023)

Fair Group Summarization with Graph Patterns. - Hanchao Ma; Sheng Guan; Mengying Wang 001; Qi Song 004; Yinghui Wu 001 (ICDE, 2023)

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. - Fotis Psallidas; Megan Eileen Leszczynski; Mohammad Hossein Namaki; Avrilia Floratou; Ashvin Agrawal; Konstantinos Karanasos; Subru Krishnan; Pavle Subotic; Markus Weimer; Yinghui Wu 001; Yiwen Zhu (SIGMOD Conference Companion, 2023)

Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation. - Yangxin Fan; Xuanji Yu; Raymond Wieser; David Meakin; Avishai Shaton; Jean-Nicolas Jaubert; Robert Flottemesch; Michael Howell; Jennifer Braid; Laura S. Bruckman; Roger H. French; Yinghui Wu 001 (CoRR, 2023)

Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Data Imputation. - Yangxin Fan; Xuanji Yu; Raymond Wieser; David Meakin; Avishai Shaton; Jean-Nicolas Jaubert; Robert Flottemesch; Michael Howell; Jennifer Braid; Laura S. Bruckman; Roger H. French; Yinghui Wu 001 (Proc. ACM Manag. Data, 2023)

Special Issue on Decision Making in Heterogeneous Network Data Scenarios and Applications. - Jianxin Li 001; Chengfei Liu; Ziyu Guan; Yinghui Wu 001 (World Wide Web (WWW), 2023)

Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural Systems. - Olatunde Akanbi; Jiaqi Li; Vibha Mandayam; Arafath Nihar; Yinghui Wu 001; Laura S. Bruckman; Jeffrey M. Yarus; Erika I. Barcelos; Roger H. French (IEEE Big Data, 2024)

Forecasting Nutrient Flows using Terrain Elevation-aware Spatial-Temporal Graph Neural Networks. - Jiaqi Li; Yinghui Wu 001; Alexandar Harding Bradley; Olatunde Akanbi; Erika I. Barcelos; Laura S. Bruckman; Roger H. French (IEEE Big Data, 2024)

Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale. - Yangxin Fan; Raymond Wieser; Laura S. Bruckman; Roger H. French; Yinghui Wu 001 (CIKM, 2024)

View-based Explanations for Graph Neural Networks (Extended Abstract). - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (ICDEW, 2024)

GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models. - Duy Le 003; Kris Zhao; Mengying Wang 001; Yinghui Wu 001 (ICDE, 2024)

Generating Robust Counterfactual Witnesses for Graph Neural Networks. - Dazhuo Qiu; Mengying Wang 001; Arijit Khan 001; Yinghui Wu 001 (ICDE, 2024)

User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views. - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (SIGMOD Conference Companion, 2024)

View-based Explanations for Graph Neural Networks. - Tingyang Chen; Dazhuo Qiu; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke; Yunjun Gao (Proc. ACM Manag. Data, 2024)

Spatio-Temporal Deep Graph Network for Event Detection, Localization, and Classification in Cyber-Physical Electric Distribution System. - Arman Ahmed; Sagnik Basumallik; Amir Gholami; Sajan K. Sadanandan; Mohammad Hossein Namaki; Anurag K. Srivastava 001; Yinghui Wu 001 (IEEE Trans. Ind. Informatics, 2024)

ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets. - Mengying Wang 001; Hanchao Ma; Sheng Guan; Yiyang Bian; Haolai Che; Abhishek Daundkar; Alp Sehirlioglu; Yinghui Wu 001 (Proc. VLDB Endow., 2024)

Generating Skyline Datasets for Data Science Models. - Mengying Wang 001; Hanchao Ma; Yiyang Bian; Yangxin Fan; Yinghui Wu 001 (EDBT, 2025)

Generating Skyline Explanations for Graph Neural Networks. - Dazhuo Qiu; Haolai Che; Arijit Khan 001; Yinghui Wu 001 (CoRR, 2025)

SliceGX: Layer-wise GNN Explanation with Model-slicing. - Tingting Zhu; Tingyang Chen; Yinghui Wu 001; Arijit Khan 001; Xiangyu Ke (CoRR, 2025)

Graph Data Management and Graph Machine Learning: Synergies and Opportunities. - Arijit Khan 001; Xiangyu Ke; Yinghui Wu 001 (SIGMOD Rec., 2025)

KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models. - Lam Nguyen; Erika I. Barcelos; Roger H. French; Yinghui Wu 001 (CoRR, 2025)

GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis. - Ethan Frakes; Yinghui Wu 001; Roger H. French; Mengjie Li (CoRR, 2025)