1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Misclassification Network-Based Method for Comparative Genomic Analysis
Wan He, Tina Eliassi-Rad, Samuel V. Scarpino
Classifying genome sequences based on metadata has been an active area of research in comparative genomics for decades with many important applications across the life sciences. Es…
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
Wan He, Daniel I. Bolnick, Samuel V. Scarpino +1
Analysis of single-cell RNA sequencing data is often conducted through network projections such as coexpression networks, primarily due to the abundant availability of network anal…
Assigning Entities to Teams as a Hypergraph Discovery Problem
Guilherme Ferraz de Arruda, Wan He, Nasimeh Heydaribeni +3
We propose a team assignment algorithm based on a hypergraph approach focusing on resilience and diffusion optimization. Specifically, our method is based on optimizing the algebra…
A Survey on Hypergraph Mining: Patterns, Tools, and Generators
Geon Lee, Fanchen Bu, Tina Eliassi-Rad +1
Hypergraphs, which belong to the family of higher-order networks, are a natural and powerful choice for modeling group interactions in the real world. For example, when modeling co…
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang +2
Scalable addressing of high dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work intro…