Going beyond persistent homology using persistent homology Johanna Immonen University of Helsinki
–Neural Information Processing Systems
Augmenting these graph models with topological features via persistent homology (PH) has gained prominence, but identifying the class of attributed graphs that PH can recognize remains open. We introduce a novel concept of color-separating sets to provide a complete resolution to this important problem.
Neural Information Processing Systems
Feb-17-2026, 01:04:27 GMT
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