Author

Cang-Hong Jin

h-index 1 View on Semantic Scholar

We have 2 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#graph neural networks Book Open access Nov 2026

Capturing Collaborative Structure in Graph Anomaly Detection by MoE-Gated Neural Common Neighbor

In real-world graphs, anomalies usually exhibit collaborative structure, manifested as densely connected sub-graphs. Capturing multi-hop relationships is essential to identify and characterize the connections among these anomalous nodes. Existing graph anomaly detection (GAD) methods fail to capture such structures due...

Hui-Ling Peng, Tong-Ya Zheng, Ru-Nang He et al. · ACM International Conference... · 0 citations

Conference Open access Sep 2026

Learnable Data Augmentation and Contrastive Pre-training for Temporal Link Prediction

This paper proposes a novel model, ContraTGT, which employs a dual-view graph transformer, and puts forth an innovative, learnable data augmentation method, which involves selective masking of elements within dual-view sequences, thereby amplifying the potency of the contrastive learning approach.

Cang-Hong Jin, Jia-Feng Zhao, Feng Xu et al. · Proceedings of the Thirty-Fi... · 0 citations