2 citations · 3 across the 2 of their papers we have counts for
6 papers
Julia for Biologists
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean +4
Increasing emphasis on data and quantitative methods in the biomedical sciences is making biological research more computational. Collecting, curating, processing, and analysing la…
Rigid Graph Alignment
Vikram Ravindra, Huda Nassar, David F. Gleich +1
Graph databases have been the subject of significant research and development. Problems such as modularity, centrality, alignment, and clustering have been formalized and solved in…
Pairwise Link Prediction
Huda Nassar, Austin R. Benson, David F. Gleich
Link prediction is a common problem in network science that transects many disciplines. The goal is to forecast the appearance of new links or to find links missing in the network.…
Low rank methods for multiple network alignment
Huda Nassar, Georgios Kollias, Ananth Grama +1
Multiple network alignment is the problem of identifying similar and related regions in a given set of networks. While there are a large number of effective techniques for pairwise…
Multimodal Network Alignment
Huda Nassar, David F. Gleich
A multimodal network encodes relationships between the same set of nodes in multiple settings, and network alignment is a powerful tool for transferring information and insight bet…
Localization in Seeded PageRank
David F. Gleich, Kyle Kloster, Huda Nassar
Seeded PageRank is an important network analysis tool for identifying and studying regions nearby a given set of nodes, which are called seeds. The seeded PageRank vector is the st…