Runshuo Liu

According to our database, Runshuo Liu authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Handling distribution shifts on dynamic graphs via causal invariance principles.

Chao Li, Yafei Zhang, Runshuo Liu, Qianyu Song, Zhongying Zhao, Qingtian Zeng

Neural Networks, 2026

Self-distillation heterogeneous graph neural network based on dual-encoder and transformer.

Chao Li, Jike Li, Runshuo Liu, Hua Duan, Ya Liu, Qingtian Zeng

Eng. Appl. Artif. Intell., 2026

A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures.

Runshuo Liu, Chao Li, Zhongying Zhao, Hui Zhou, Qingtian Zeng

Proceedings of the ACM Web Conference 2026, 2026

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs.

Chao Li, Runshuo Liu, Zhongying Zhao, Hui Zhou, Qingtian Zeng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HIDyG: heterogeneous information perception in dynamic graphs via contrastive learning.

Runshuo Liu, Chao Li, Qianyu Song, Hui Zhou, Qingtian Zeng

Appl. Intell., November, 2025

Fusion3M: Community-based multi-scale co-evolving network for dynamic graph representation learning.

Chao Li, Qianyu Song, Runshuo Liu, Zhongying Zhao, Qingtian Zeng

Inf. Fusion, 2025

2024

DGNN-MN: Dynamic Graph Neural Network via memory regenerate and neighbor propagation.

Chao Li, Runshuo Liu, Jinhu Fu, Zhongying Zhao, Hua Duan, Qingtian Zeng

Appl. Intell., October, 2024