dsgiitr / graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
☆1,183Updated 2 weeks ago
Alternatives and similar repositories for graph_nets:
Users that are interested in graph_nets are comparing it to the libraries listed below
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,213Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆644Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆840Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆813Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,016Updated 4 years ago
- Papers on Graph neural network(GNN)☆763Updated last year
- gnn explainer☆945Updated 7 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆637Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆665Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,127Updated 4 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,017Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,658Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,579Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,001Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated 2 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆317Updated 5 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 8 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆556Updated 3 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆485Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆472Updated 6 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,782Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆483Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 9 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆467Updated last year
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆792Updated 2 years ago
- resources for graph convolutional networks （图卷积 神经网络相关资源）☆891Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,016Updated last year
- TGN: Temporal Graph Networks☆1,037Updated 10 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆824Updated last year