bio-applied-molecular-gnn

SKILLWorkflowCommunity
v0.0.0Pavel-KravchenkoUnknownAktualisiert vor 1 Mon.Quelle →

Train PyTorch Geometric GCN/MPNN on SMILES-derived molecular graphs to predict properties (BBBP, solubility, toxicity); compare vs Morgan-fingerprint RF. Use for GNN property prediction or SMILES-to-graph pipelines.

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vor 1 Mon.Letzte Aktualisierung
Skill
AutorPavel-Kravchenko
Version0.0.0
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KategorieWorkflow
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Train PyTorch Geometric GCN/MPNN on SMILES-derived molecular graphs to predict properties (BBBP, solubility, toxicity); compare vs Morgan-fingerprint RF. Use for GNN property prediction or SMILES-to-graph pipelines.

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