Collection of works related with Graph Augmentation Learning.
- Data Augmentation for Graph Neural Networks, AAAI 2021
- Learning to Drop**:** Robust Graph Neural Network via Topological Denoising, WSDM 2021
- Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping, CoRR abs/2106.02892
- Power up! Robust Graph Convolutional Network via Graph Powering, AAAI 2021
- Local Augmentation for Graph Neural Networks, CoRR abs/2109.03856
- A Graph Data Augmentation Strategy with Entropy Preserving, CoRR abs/2107.06048
- A Simple and General Graph Neural Network with Stochastic Message Passing, CoRR abs/2009.02562
- Reconstruction for Powerful Graph Representations, NeurIPS 2021
- Heterogeneous Graph Neural Network via Attribute Completion, WWW 2021
- Identity-aware Graph Neural Networks, AAAI 2021
- Nested Graph Neural Networks., NeurIPS 2021
- Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs., TKDE 2021
- Mixup for Node and Graph Classification., WWW 2021
- How Robust Are Graph Neural Networks to Structural Noise? , DLGMA 2020
- M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification., TNSE 2020
- FLAG: Adversarial Data Augmentation for Graph Neural Networks, CoRR abs/2010.09891
- DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. , ICLR 2020
- Memory Augmented Graph Neural Networks for Sequential Recommendation, AAAI 2020
- Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning, CoRR abs/2006.13090
- NodeAug: Semi-Supervised Node Classification with Data Augmentation. , KDD 2020
- Effective and efficient graph augmentation in large graphs. , IEEE BigData 2016
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