Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
☆3,120Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for pyGAT
Users that are interested in pyGAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,510Apr 9, 2022Updated 4 years ago
- Graph Convolutional Networks in PyTorch☆5,396Sep 20, 2020Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆680Oct 3, 2023Updated 2 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,660Nov 17, 2022Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,261Jul 31, 2025Updated 8 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Simple reference implementation of GraphSAGE.☆1,044May 11, 2020Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,365Apr 14, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆23,669Updated this week
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆494Oct 26, 2020Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,678Aug 4, 2024Updated last year
- Must-read papers on graph neural networks (GNN)☆16,740Dec 20, 2023Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,203May 6, 2020Updated 5 years ago
- How Powerful are Graph Neural Networks?☆1,282Jul 1, 2021Updated 4 years ago
- links to conference publications in graph-based deep learning☆5,046Feb 7, 2026Updated 2 months 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.
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,190Jul 31, 2022Updated 3 years ago
- Implementation and experiments of graph embedding algorithms.☆3,839Mar 14, 2024Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,081Feb 15, 2023Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆848Dec 13, 2021Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆665Nov 1, 2022Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,654Jun 22, 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
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,229Mar 28, 2025Updated last year
- Semi-supervised learning with graph embeddings☆950Mar 5, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆9,678Apr 16, 2024Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆912Dec 20, 2023Updated 2 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Dec 27, 2017Updated 8 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Oct 1, 2021Updated 4 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 3 years ago
- 《深入浅出图神经网络：GNN原理解析》配套代码☆1,920Feb 24, 2021Updated 5 years ago
- ☆506Jan 13, 2021Updated 5 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆627Jul 17, 2024Updated last year
- Keras-based implementation of Relational Graph Convolutional Networks☆817Jul 2, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆850Jan 11, 2023Updated 3 years ago
- Graph Convolution Network for PyTorch☆407May 2, 2019Updated 6 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆364Apr 5, 2022Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143May 8, 2018Updated 7 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Nov 10, 2023Updated 2 years ago
- KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019☆1,163Aug 5, 2020Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆529Mar 25, 2021Updated 5 years ago