armanihm / GDCLinks
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
☆62Updated 5 years ago
Alternatives and similar repositories for GDC
Users that are interested in GDC are comparing it to the libraries listed below
Sorting:
- ☆47Updated 4 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆49Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 7 months ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆45Updated 3 years ago
- ☆139Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- ☆146Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆44Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Updated 3 years ago
- Graph Structured Neural Network☆40Updated 3 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- ☆101Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆66Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆237Updated 2 years ago
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆36Updated 3 years ago
- ☆62Updated 5 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- ☆32Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆29Updated 3 years ago
- ☆77Updated 4 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆117Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago