5 papers
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
He Lyu, Huolin Zeng, Junren Wang +7
Real-world clinical data is inherently multimodal, providing complementary evidence that mirrors the practical necessity of jointly assessing multiple related outcomes. Although mu…
Matching and mixing: Matchability of graphs under Markovian error
Zhirui Li, Keith D. Levin, Zhiang Zhao +1
We consider the problem of graph matching for a sequence of graphs generated under a time-dependent Markov chain noise model. Our edgelighter error model, a variant of the classica…
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…
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…
Multiplex graph matching matched filters
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park +3
We consider the problem of detecting a noisy induced multiplex template network in a larger multiplex background network. Our approach, which extends the framework of Sussman et al…