crossrefMachine Learning and Knowledge Extraction2026-07-04
Evaluation Rigor from Graph Neural Networks to Graph Foundation Models: A Systematic Review and a Four-Axis Reporting Standard
Sergei O. Kurashkin, Vadim S. Tynchenko, Aleksei S. Borodulin, Ahmad Hammoud, Connie Tee
Graph machine learning reports steady progress across node, graph, and link prediction, across temporal and hypergraph frontiers, and across the emerging class of graph foundation models. This review asks a prior question: when a method is reported to outperform the alternatives,…