domain-graph

Use for graph machine learning: node classification, link prediction, graph classification or regression, recommendation on graphs, molecule or network analysis, community detection, and graph anomaly detection with graph neural networks. Picks the GNN by task, enforces transductive vs inductive splits (a common leakage source), and uses graph metrics. Triggers on 'graph neural network', 'GNN', 'node classification', 'link prediction', 'knowledge graph', 'molecule', 'social network', 'GCN', 'GraphSAGE', 'GAT'.