senadkurtisi / pytorch-GCNLinks
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
☆27Updated 4 years ago
Alternatives and similar repositories for pytorch-GCN
Users that are interested in pytorch-GCN are comparing it to the libraries listed below
Sorting:
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 5 years ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆125Updated 3 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆110Updated 4 years ago
- The PyTorch version of ChebNet.☆36Updated 6 months ago
- PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://a…☆44Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 2 months ago
- Graph Neural Network Tutorial☆189Updated 5 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆330Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆337Updated 3 years ago
- CS224W Stanford Winter 2021 Homework solutions☆196Updated 3 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆92Updated 3 years ago
- ☆96Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated 2 years ago
- ☆67Updated 2 years ago
- (Still in coding)A pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets) from hwwang55☆45Updated 5 years ago
- ☆96Updated 2 years ago
- Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)☆25Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆88Updated last year
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆49Updated 4 years ago
- Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels☆30Updated 2 years ago
- A list for GNNs and related works.☆95Updated last month
- Implement EvolveGCN by DGL.☆26Updated 3 years ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- ☆326Updated 11 months ago
- ☆135Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆157Updated 2 years ago