theodoriss / gcn-demoLinks
Semi-Supervised classification with Graph Convolution Networks using Pytorch
☆53Updated 4 years ago
Alternatives and similar repositories for gcn-demo
Users that are interested in gcn-demo are comparing it to the libraries listed below
Sorting:
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆249Updated 5 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆270Updated 2 years ago
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆105Updated 11 months ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆178Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆140Updated 2 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks