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- 2026
[j5]Chao Li, Jike Li, Runshuo Liu, Hua Duan, Ya Liu, Qingtian Zeng:
Self-distillation heterogeneous graph neural network based on dual-encoder and transformer. Eng. Appl. Artif. Intell. 173: 114467 (2026)- [j4]Chao Li, Yafei Zhang, Runshuo Liu, Qianyu Song, Zhongying Zhao, Qingtian Zeng
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Handling distribution shifts on dynamic graphs via causal invariance principles. Neural Networks 200: 108854 (2026) - [c2]Chao Li, Runshuo Liu, Zhongying Zhao, Hui Zhou, Qingtian Zeng:
FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs. AAAI 2026: 15063-15071 - [c1]Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou, Qingtian Zeng:
A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures. WWW 2026: 1310-1320 - 2025
- [j3]Runshuo Liu, Chao Li, Qianyu Song, Hui Zhou, Qingtian Zeng:
HIDyG: heterogeneous information perception in dynamic graphs via contrastive learning. Appl. Intell. 55(16): 1064 (2025) - [j2]Chao Li, Qianyu Song, Runshuo Liu, Zhongying Zhao, Qingtian Zeng:
Fusion3M: Community-based multi-scale co-evolving network for dynamic graph representation learning. Inf. Fusion 123: 103308 (2025) - 2024
- [j1]Chao Li, Runshuo Liu, Jinhu Fu, Zhongying Zhao, Hua Duan, Qingtian Zeng:
DGNN-MN: Dynamic Graph Neural Network via memory regenerate and neighbor propagation. Appl. Intell. 54(19): 9253-9268 (2024)
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