State of the Art and Potentialities of Graph-level Learning.
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ACM Comput. Surv., February, 2025
CINA: Curvature-Based Integrated Network Alignment with Hypergraph.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
A Comprehensive Survey of Graph-level Learning.
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CoRR, 2023
Minimum Entropy Principle Guided Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst., 2022
Graph-level Neural Networks: Current Progress and Future Directions.
CoRR, 2022
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2021
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng., 2020
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018