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User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views.

, , , , , and . SIGMOD Conference Companion, page 512-515. ACM, (2024)

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Answering Why-questions by Exemplars in Attributed Graphs., , , and . SIGMOD Conference, page 1481-1498. ACM, (2019)GRIP: Constraint-based Explanation of Missing Answers for Graph Queries., , , and . SIGMOD Conference, page 2779-2783. ACM, (2021)GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs., , , and . IEEE BigData, page 44-53. IEEE, (2020)Answering Why-Questions for Subgraph Queries., , , and . IEEE Trans. Knowl. Data Eng., 34 (10): 4636-4649 (2022)System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems., , , , , , , and . CIKM, page 4872-4876. ACM, (2022)Inconsistency Detection with Temporal Graph Functional Dependencies., , , and . ICDE, page 464-476. IEEE, (2023)Finding Densest Lasting Subgraphs in Dynamic Graphs: A Stochastic Approach., , and . ICDE, page 782-793. IEEE, (2019)Understanding the Doping Effect on NiO: Toward High‐Performance Inverted Perovskite Solar Cells, , , , , , , , , and 1 other author(s). Advanced Energy Materials, (December 2017)Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems., , , and . AAAI, page 15323-15330. AAAI Press, (2021)Fair Group Summarization with Graph Patterns., , , , and . ICDE, page 1982-1994. IEEE, (2023)