tensorflow / gnnLinks
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
☆1,468Updated this week
Alternatives and similar repositories for gnn
Users that are interested in gnn are comparing it to the libraries listed below
Sorting:
- Graph Neural Networks with Keras and Tensorflow 2.☆2,381Updated last year
- Python library assists deep learning on graphs☆561Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,819Updated last year
- Pytorch Geometric Tutorials☆1,125Updated 2 years ago
- A Graph Neural Network Library in Jax☆1,439Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,019Updated 2 months ago
- TensorFlow implementations of Graph Neural Networks☆923Updated 2 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆374Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,852Updated this week
- A library for graph deep learning research☆1,975Updated last year
- gnn explainer☆985Updated 11 months ago
- TGN: Temporal Graph Networks☆1,086Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,611Updated 2 years ago
- StellarGraph - Machine Learning on Graphs☆3,022Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆987Updated 4 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆532Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,207Updated 4 months ago
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,242Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,558Updated 11 months ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆924Updated 2 years ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,228Updated 2 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆636Updated last year
- A PyTorch Graph Neural Network Library☆376Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,793Updated last year
- Fastest network node embeddings in the west☆551Updated 7 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆764Updated last year
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,080Updated 2 months ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆504Updated 6 months ago
- Tabular Deep Learning Library for PyTorch☆686Updated this week