Graph Attention Networks (https://arxiv.org/abs/1710.10903)
☆3,522Apr 9, 2022Updated 4 years ago
Alternatives and similar repositories for GAT
Users that are interested in GAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Implementation of Graph Convolutional Networks in TensorFlow☆7,378Apr 14, 2023Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,687Aug 4, 2024Updated last year
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,663Nov 17, 2022Updated 3 years ago
- 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
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 5 years ago
- Heterogeneous Graph Neural Network☆1,208May 6, 2020Updated 5 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,271Jul 31, 2025Updated 8 months ago
- Graph Neural Network Library for PyTorch☆23,700Apr 18, 2026Updated last week
- Must-read papers on graph neural networks (GNN)☆16,754Dec 20, 2023Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,045May 11, 2020Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆530Mar 25, 2021Updated 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☆5,056Feb 7, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆666Nov 1, 2022Updated 3 years ago
- Semi-supervised learning with graph embeddings☆951Mar 5, 2020Updated 6 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Jul 2, 2019Updated 6 years ago
- DeepWalk - Deep Learning for Graphs☆2,758Jun 14, 2023Updated 2 years ago
- Build Graph Nets in Tensorflow☆5,400Dec 12, 2022Updated 3 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,738Jan 3, 2020Updated 6 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,369Jun 13, 2020Updated 5 years ago
- KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019☆1,163Aug 5, 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.
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,084Feb 15, 2023Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆851Jan 11, 2023Updated 3 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,517Aug 3, 2020Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,654Jun 22, 2023Updated 2 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
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 3 years ago
- Paper Lists for Graph Neural Networks☆2,298Dec 29, 2023Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆914Dec 20, 2023Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Mar 13, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆508Jan 13, 2021Updated 5 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆539Nov 22, 2019Updated 6 years ago
- An Open-Source Package for Network Embedding (NE)☆1,705Jan 10, 2024Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆733Jan 20, 2022Updated 4 years ago
- ☆2,727Jul 21, 2022Updated 3 years ago
- code of HetGNN☆413Feb 22, 2020Updated 6 years ago
- A distributed graph deep learning framework.☆2,902Aug 19, 2023Updated 2 years ago