Replaces closed-source cheminformatics toolkits for building predictive models on molecular graphs. It provides pre-implemented models and datasets for drug discovery and material science tasks.
Tech Stack
PythonAI, ML & Data
Why dgl-lifesci?
• Extensive pre-trained models
• Efficient large-graph processing
• Seamless PyTorch integration
Limitations
• Requires DGL knowledge
• Heavy dependency stack
• Documentation can be sparse
3/2/2026
Last Update
160
Forks
32
Issues
Apache-2.0
License
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