dsgiitr / graph_netsLinks
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
☆1,209Updated 4 months ago
Alternatives and similar repositories for graph_nets
Users that are interested in graph_nets are comparing it to the libraries listed below
Sorting:
- How Powerful are Graph Neural Networks?☆1,238Updated 4 years ago
- gnn explainer☆986Updated 11 months ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆659Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,684Updated last year
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆801Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,616Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,038Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 2 years ago
- Papers on Graph neural network(GNN)☆765Updated last year
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆825Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,022Updated 3 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆645Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆844Updated 3 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆796Updated 2 years ago
- TGN: Temporal Graph Networks☆1,091Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,823Updated last year
- Paper Lists for Graph Neural Networks☆2,268Updated last year
- Heterogeneous Graph Neural Network☆1,154Updated 5 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆573Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,029Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆856Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆504Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated 2 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆506Updated 7 months ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,795Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆946Updated last year
- Semi-supervised learning with graph embeddings☆922Updated 5 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,265Updated 2 years ago