Latest

• GOODAT: Towards Test-time Graph Out-of-Distribution Detection
• Towards Self-Interpretable Graph-Level Anomaly Detection
• Learning Strong Graph Neural Networks with Weak Information
• Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
• GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
• Graph self-supervised learning: A survey
• Towards Unsupervised Deep Graph Structure Learning
• Anomaly Detection in Dynamic Graphs via Transformer
• ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
• Cyclic label propagation for graph semi-supervised learning
• Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning