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Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
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[KDD'25] Global Interpretable Graph-level Anomaly Detection Via Prototype
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[WSDM'24] Minimum Entropy Principle Guided Graph Neural Networks
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[WWW'26] Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning
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[TKDE'25] Learning from Graph-graph Relationship: A New Perspective on Graph-level Anomaly Detection
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