All Stories

  1. Out-of-Distribution Robust Explainer for Graph Neural Networks
  2. Harnessing Influence Function in Explaining Graph Neural Networks
  3. Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition
  4. CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders
  5. Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems