1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.SI2023
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…