2025
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv., February, 2025

2024
CINA: Curvature-Based Integrated Network Alignment with Hypergraph.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
A Comprehensive Survey of Graph-level Learning.
CoRR, 2023

Minimum Entropy Principle Guided Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng., 2020

2018
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018