senadkurtisi / pytorch-GCN
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
☆26Updated 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
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 4 years ago
- A collection of resources on attention-based graph neural networks☆71Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- The PyTorch version of ChebNet.☆36Updated 4 months ago
- GraphSAGE and GAT for link prediction.☆90Updated 5 years ago
- PyTorch implementation of Graph Attention Networks☆22Updated 5 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆50Updated 4 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated last year
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- Graph Neural Network Tutorial☆186Updated 4 years ago
- Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification☆108Updated 4 years ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- ☆39Updated 2 years ago
- Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification☆72Updated 3 years ago
- Implement EvolveGCN by DGL.☆26Updated 3 years ago
- Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification☆107Updated 4 years ago
- Course Project for CS224W at Stanford☆22Updated 3 years ago
- PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://a…☆43Updated last year
- ☆27Updated 2 years ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆89Updated 3 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆110Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 7 months ago
- ☆133Updated last year
- ☆20Updated last year
- A pytorch implemention of GCN-GAN for temporal link prediction.☆104Updated 5 years ago
- WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021☆24Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆137Updated 2 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆30Updated 4 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆65Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago