PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
☆1,233Mar 28, 2025Updated last year
Alternatives and similar repositories for graph_nets
Users that are interested in graph_nets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆854Jan 11, 2023Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆681Oct 3, 2023Updated 2 years ago
- Discussions on papers, frameworks, blogs and ideas every Saturday.☆60Aug 21, 2021Updated 4 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,654Jun 22, 2023Updated 2 years ago
- Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.☆57Jul 15, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,725Feb 2, 2024Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,764May 16, 2026Updated last week
- Must-read papers on graph neural networks (GNN)☆16,780Dec 20, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,274Jul 31, 2025Updated 9 months ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,126Jul 6, 2023Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,694Aug 4, 2024Updated last year
- links to conference publications in graph-based deep learning☆5,061May 16, 2026Updated last week
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆806Nov 6, 2022Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,821Feb 1, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆681Aug 16, 2022Updated 3 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,803Mar 18, 2023Updated 3 years ago
- Implementation and experiments of graph embedding algorithms.☆3,842Apr 26, 2026Updated 3 weeks ago
- TGN: Temporal Graph Networks☆1,186May 28, 2024Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆437Nov 5, 2020Updated 5 years ago
- Graph Convolutional Networks in PyTorch☆5,400Sep 20, 2020Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,061Jul 29, 2023Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆401Jun 17, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- gnn explainer☆1,043Aug 30, 2024Updated last year
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆617Oct 11, 2021Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,047May 11, 2020Updated 6 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆477Dec 7, 2022Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆357Jun 12, 2025Updated 11 months ago
- ☆345Jul 25, 2024Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,083Feb 15, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,981Sep 18, 2025Updated 8 months ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆277Apr 26, 2023Updated 3 years ago
- Paper Lists for Graph Neural Networks☆2,302Dec 29, 2023Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,528Apr 9, 2022Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆308May 12, 2023Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 3 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 2 years ago