liutongyang / GraphGAN-pytorch
(Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55
☆42Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for GraphGAN-pytorch
- A pytorch implemention of GCN-GAN for temporal link prediction.☆101Updated 5 years ago
- ☆34Updated 2 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆47Updated 4 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆21Updated 2 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆39Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- The PyTorch version of ChebyNet.☆34Updated 3 months ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆30Updated 2 years ago
- ☆93Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆185Updated 4 years ago
- ☆29Updated 4 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆113Updated last year
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 2 years ago
- Source code of GResNet☆16Updated 4 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆31Updated 5 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆37Updated 3 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated last year
- PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.☆50Updated 5 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 3 years ago
- The code for GCN, GAT and Graphsage based on pytorch.☆59Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- ☆62Updated 4 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆128Updated last year
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆77Updated 3 years ago