tensorflow / gnnLinks
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
☆1,484Updated last week
Alternatives and similar repositories for gnn
Users that are interested in gnn are comparing it to the libraries listed below
Sorting:
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,831Updated last year
- Graph Neural Networks with Keras and Tensorflow 2.☆2,380Updated last year
- Python library assists deep learning on graphs☆566Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,032Updated 4 months ago
- StellarGraph - Machine Learning on Graphs☆3,026Updated last year
- A library for graph deep learning research☆1,985Updated last year
- A Graph Neural Network Library in Jax☆1,442Updated last year
- Pytorch Geometric Tutorials☆1,133Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,623Updated 2 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆375Updated 2 years ago
- TGN: Temporal Graph Networks☆1,099Updated last year
- TensorFlow implementations of Graph Neural Networks☆926Updated 2 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,868Updated 2 weeks ago
- gnn explainer☆997Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,582Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆996Updated 4 years ago
- Implementation of the node2vec algorithm.☆1,279Updated last year
- 🤖 A Python library for learning and evaluating knowledge graph embeddings☆1,868Updated last month
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)☆2,246Updated last year
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆639Updated last year
- Fastest network node embeddings in the west☆552Updated 8 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆431Updated last week
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,239Updated 2 years ago
- Tabular Deep Learning Library for PyTorch☆703Updated last week
- Recipe for a General, Powerful, Scalable Graph Transformer☆770Updated last year
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆926Updated 2 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,259Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,214Updated 5 months ago
- Papers about explainability of GNNs☆752Updated 4 months ago