2026
GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
ICLR 2026poster
A fundamental challenge in graph learning is understanding how models generalize to new, unseen graphs. While synthetic benchmarks offer controlled settings for analysis, existing approaches are confined to single-graph, transductive settings where models train and test on the same graph structure.…