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stat.ML2023
Gotta match 'em all: Solution diversification in graph matching matched filters
Zhirui Li, Ben Johnson, Daniel L. Sussman +2
We present a novel approach for finding multiple noisily embedded template graphs in a very large background graph. Our method builds upon the graph-matching-matched-filter techniq…
stat.ML2022
Clustered Graph Matching for Label Recovery and Graph Classification
Zhirui Li, Jesus Arroyo, Konstantinos Pantazis +1
Given a collection of vertex-aligned networks and an additional label-shuffled network, we propose procedures for leveraging the signal in the vertex-aligned collection to recover…