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torchdrug

Build and troubleshoot TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and knowledge graph reasoning. Use when code imports torchdrug or needs its datasets, models, tasks, or Engine.

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# TorchDrug

Use TorchDrug as a modular PyTorch graph-learning stack:

1. load a `datasets.*` dataset,
2. choose a `models.*` representation model,
3. wrap it in a `tasks.*` objective,
4. train and evaluate it with `core.Engine`.

The current official documentation and latest release are both **0.2.1**. Treat
newer Python or PyTorch combinations as unverified rather than silently assuming
compatibility.

## Start with the version guard