73 citations · 141 across the 26 of their papers we have counts for
4 papers · 1 filter
Ramanujan Graphs and the Spectral Gap of Supercomputing Topologies
Sinan G. Aksoy, Paul Bruillard, Stephen J. Young +1
Graph eigenvalues play a fundamental role in controlling structural properties, such as bisection bandwidth, diameter, and fault tolerance, which are critical considerations in the…
Relative Hausdorff Distance for Network Analysis
Sinan G. Aksoy, Kathleen E. Nowak, Emilie Purvine +1
Similarity measures are used extensively in machine learning and data science algorithms. The newly proposed graph Relative Hausdorff (RH) distance is a lightweight yet nuanced sim…
Hypernetwork Science via High-Order Hypergraph Walks
Sinan G. Aksoy, Cliff Joslyn, Carlos Ortiz Marrero +2
We propose high-order hypergraph walks as a framework to generalize graph-based network science techniques to hypergraphs. Edge incidence in hypergraphs is quantitative, yielding h…
A linear-time algorithm and analysis of graph Relative Hausdorff distance
Sinan G. Aksoy, Kathleen E. Nowak, Stephen J. Young
Graph similarity metrics serve far-ranging purposes across many domains in data science. As graph datasets grow in size, scientists need comparative tools that capture meaningful d…