A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
☆681Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for graphSAGE-pytorch
Users that are interested in graphSAGE-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple reference implementation of GraphSAGE.☆1,046May 11, 2020Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,121Jul 6, 2023Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,689Aug 4, 2024Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆143May 8, 2018Updated 7 years ago
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 5 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.
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,231Mar 28, 2025Updated last year
- [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
- Implementation and experiments of graph embedding algorithms.☆3,841Apr 26, 2026Updated last week
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆852Jan 11, 2023Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,271Jul 31, 2025Updated 9 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,722Feb 2, 2024Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆666Nov 1, 2022Updated 3 years ago
- ☆306Jul 17, 2022Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆421Sep 20, 2021Updated 4 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.
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,084Feb 15, 2023Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Jul 25, 2024Updated last year
- Graph Auto-Encoder in PyTorch☆447Mar 17, 2024Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,378Apr 14, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆23,716Updated this week
- Strategies for Pre-training Graph Neural Networks☆1,058Jul 29, 2023Updated 2 years ago
- 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
- How Powerful are Graph Neural Networks?☆1,282Jul 1, 2021Updated 4 years ago
- gnn explainer☆1,042Aug 30, 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.
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,526Apr 9, 2022Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆916Dec 20, 2023Updated 2 years ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆63May 17, 2020Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆352Apr 25, 2024Updated 2 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆536Jan 11, 2022Updated 4 years ago
- Must-read papers on graph neural networks (GNN)☆16,763Dec 20, 2023Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆73Nov 24, 2020Updated 5 years ago
- Heterogeneous Graph Neural Network☆1,208May 6, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆306May 12, 2023Updated 2 years ago
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆672Jun 21, 2022Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆960Feb 17, 2026Updated 2 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,653Jun 22, 2023Updated 2 years ago
- 《深入浅出图神经网络：GNN原理解析》配套代码☆1,921Feb 24, 2021Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,189Jul 31, 2022Updated 3 years ago