All Stories

  1. Heterophilic Graph Neural Networks Optimization with Causal Message-passing
  2. CodeSwap: Symmetrically Face Swapping Based on Prior Codebook
  3. Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation
  4. Hyperbolic Contrastive Learning for Cross-Domain Recommendation
  5. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
  6. Path-based Explanation for Knowledge Graph Completion
  7. Knowledge Graph Completion with Counterfactual Augmentation
  8. Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach
  9. Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
  10. Semi-Supervised Hierarchical Graph Classification
  11. Spectral Graph Attention Network with Fast Eigen-approximation
  12. Power up! Robust Graph Convolutional Network via Graph Powering
  13. A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models