Results for “knn”

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Build reusable, composable n8n sub-workflows with typed inputs, stateless or stateful design, and discoverable naming conventions.