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link-property-prediction【数据与研究】Routes OGB link-prediction workflows for ogbl datasets, ranking metrics, and KG completion.
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Use this subskill for the link-property family: ogbl-* datasets, ranking
metrics, and knowledge-graph completion workflows.
LinkPropPredDataset, PygLinkPropPredDataset,
DglLinkPropPredDataset, or ogbl-*.hits@K, mrr, or link-level rocauc evaluation.ogbl-collab, ogbl-ppa, ogbl-citation2,
ogbl-ddi, ogbl-biokg, ogbl-wikikg2, or ogbl-vessel.references/workflows.md for the link
prediction flow and metric-specific shapes.references/api-reference.md for the
public class names, split structure, and evaluator inputs.references/troubleshooting.md when
ranking shapes or top-k arrays fail validation.ogbl-* dataset name.get_edge_split().ogbl-collab / ogbl-ppa -> graph link prediction baselines.ogbl-citation2 -> citation ranking with MRR-style evaluation.ogbl-biokg / ogbl-wikikg2 -> knowledge-graph completion.ogbl-ddi -> edge prediction with hits@20.ogbl-vessel -> ROC-AUC with the external contribution workflow.PyG and DGL wrappers are optional. If they are not installed, the core OGB link workflow still works through the library-agnostic loader.