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]
- Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning [Paper]
- Label-informed Graph Structure Learning for Node Classification [Paper]
- Multi-view graph structure learning using subspace merging on Grassmann manifold [Paper]
- Towards Unsupervised Deep Graph Structure Learning [Paper] [Code]
- Prohibited Item Detection via Risk Graph Structure Learning [Paper]
- Structural Entropy Guided Graph Hierarchical Pooling [Paper]
- Boosting Graph Structure Learning with Dummy Nodes [Paper] [Code]
- ASGNN: Graph Neural Networks with Adaptive Structure [Paper]
- DAG-GNN: DAG Structure Learning with Graph Neural Networks [Paper] [Code]
- Discrete graph structure learning for forecasting multiple time series [Paper]