CORE decouples site confounders in fMRI networks, profiles transient dynamics on a population scaffold using line graphs, and applies subject-adaptive gating to achieve up to 6.7% better cross-site generalization on ABIDE, REST-meta-MDD, SRPBS, and ABCD datasets.
Learning invariant graph representations for out-of-distribution generalization.Proceedings of the Conference on Neural Information Processing Systems, 35:11828–11841
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
When Brain Networks Travel: Learning Beyond Site
CORE decouples site confounders in fMRI networks, profiles transient dynamics on a population scaffold using line graphs, and applies subject-adaptive gating to achieve up to 6.7% better cross-site generalization on ABIDE, REST-meta-MDD, SRPBS, and ABCD datasets.