PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
☆1,237Mar 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.☆857Jan 11, 2023Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆688Oct 3, 2023Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,672Jun 22, 2023Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,729Feb 2, 2024Updated 2 years ago
- Graph Neural Network Library for PyTorch☆24,006Jul 31, 2026Updated last week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Must-read papers on graph neural networks (GNN)☆16,832Dec 20, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,278Jul 31, 2025Updated last year
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,126Jul 6, 2023Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,718Aug 4, 2024Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,094Jun 7, 2026Updated 2 months ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆804Nov 6, 2022Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,820Feb 1, 2024Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆509Aug 12, 2022Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,800Mar 18, 2023Updated 3 years ago
- Implementation and experiments of graph embedding algorithms.☆3,849Apr 26, 2026Updated 3 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆440Nov 5, 2020Updated 5 years ago
- TGN: Temporal Graph Networks☆1,201May 28, 2024Updated 2 years ago
- Graph Convolutional Networks in PyTorch☆5,400Sep 20, 2020Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,069Jul 29, 2023Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆401Jun 17, 2024Updated 2 years ago
- gnn explainer☆1,056Aug 30, 2024Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆667Nov 1, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Simple reference implementation of GraphSAGE.☆1,051May 11, 2020Updated 6 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆621Oct 11, 2021Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆850Dec 13, 2021Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,082Feb 15, 2023Updated 3 years ago
- ☆346Jul 25, 2024Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,993May 30, 2026Updated 2 months ago
- Paper Lists for Graph Neural Networks☆2,310Dec 29, 2023Updated 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.
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,544Apr 9, 2022Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆277Apr 26, 2023Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆310May 12, 2023Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,278Mar 18, 2023Updated 3 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,681Nov 17, 2022Updated 3 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,190Jul 31, 2022Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 2 years ago