A collection of research papers related to graph structure learning(GSL).
- Deep Graph Structure Learning for Robust Representations: A Survey [Paper]
- Deep learning with graph-structured representations[Paper]
- Graph Structure Learning for Robust Graph Neural Networks[Paper] [Code]
- Heterogeneous Graph Structure Learning for Graph Neural Networks [Paper] [Code]
- SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks [Paper] [Code]
- Compact Graph Structure Learning via Mutual Information Compression [Paper] [Code]
- GNNGUARD: Defending Graph Neural Networks against Adversarial Attacks [Paper] [Code]
- Semi-supervised Learning with Graph Learning-Convolutional Networks [Paper]
- Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings [Paper] [Code]
- Latent Patient Network Learning for Automatic Diagnosis [Paper]
- Data Augmentation for Graph Neural Networks [Paper] [Code]
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks [Paper] [Code]
- Graph Structure Learning with Variational Information Bottleneck [Paper]