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Graph Neural Networks (GNN) Software and Libraries

General GNN Frameworks

Specialized GNN Tools

  • Graph Nets by DeepMind
    • TensorFlow library for building graph networks. GitHub
  • StellarGraph
    • Machine learning on graphs/networks with TensorFlow 2.x. GitHub , Tutorial
  • PyTorch BigGraph (PBG)

Innovative GNN Libraries

  • CogDL
    • Toolkit for graph representation learning on PyTorch. GitHub , Website
  • PyTorch Geometric Temporal (PyGT)
    • Temporal graph deep learning on PyTorch Geometric. GitHub , Tutorial
  • Dive into Graphs (DIG)

Platform and Toolkits

  • GraphGym
    • Platform for GNN design and evaluation. GitHub
  • OpenHGNN
    • Toolkit for heterogeneous GNNs on PyTorch and DGL. GitHub

Drug Discovery Tools, Software, and Libraries

Deep Learning and Cheminformatics

  • DeepChem
    • Deep learning for life sciences. GitHub
  • RDKit
  • TorchDrug

Molecular Processing and Prediction

  • DataMol
  • Chemprop
    • GNNs for molecular property prediction on PyTorch. GitHub

Benchmarks and Datasets

  • MoleculeNet
    • Benchmark for molecular machine learning. Website
  • Open Graph Benchmark (OGB)

Specialized Tools for Drug Discovery

  • Chemical Representation Learning for Toxicity Prediction
    • Datasets and models for toxicity prediction on PyTorch. GitHub , Paper
  • BioCypher