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`ogbg‑molhiv` is a small molecular property prediction dataset adapted from MoleculeNet by the Stanford team for the Open Graph Benchmark. It is a binary classification task predicting whether a molecule inhibits HIV, evaluated with ROC‑AUC. The dataset comprises 41,127 graphs, each with node features, edge indices, edge attributes, and labels, following the PyGeometric split.
