most citedDeep Feature Learning of Multi-Network Topology for Node Classification

2 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SI2023★ 2 cited

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

Jie Liu, Mengting He, Xuequn Shang +3

Graph anomaly detection (GAD) has gained increasing attention in recent years due to its critical application in a wide range of domains, such as social networks, financial risk ma…

cs.AI2023★ 1 cited

Imbalanced Node Classification Beyond Homophilic Assumption

Jie Liu, Mengting He, Guangtao Wang +3

Imbalanced node classification widely exists in real-world networks where graph neural networks (GNNs) are usually highly inclined to majority classes and suffer from severe perfor…

cs.LG2018★ 2 cited

Deep Feature Learning of Multi-Network Topology for Node Classification

Hansheng Xue, Jiajie Peng, Xuequn Shang

Networks are ubiquitous structure that describes complex relationships between different entities in the real world. As a critical component of prediction task over nodes in networ…