Latest

• Trustworthy Graph Neural Networks: Aspects, Methods and Trends
• GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
• GOODAT: Towards Test-time Graph Out-of-Distribution Detection
• A Survey on Fairness-aware Recommender Systems
• Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks
• Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
• How Far are We from Robust Long Abstractive Summarization?
• Projective Ranking-based GNN Evasion Attacks
• Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks