Libraries for Deep Learning Graphs
- 01. GeometricFlux: The Geometric Deep Learning Library in Julia
- 02. ptgnn: A PyTorch GNN Library PyPI containing pyTorch code for creating graph neural network (GNN) models
- 03. Jraph - A library for graph neural networks in jax
- 04. Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2 - A flexible framework for creating graph neural networks (GNNs).
- 05. Graph Nets is DeepMind's library for building graph networks in Tensorflow and Sonnet.
- 06. DGL empowers Service For Predictions On Connected Datasets With Graph Neural Networks
- 07. PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch.