2 papers
stat.ME2025
Attractor-Based Coevolving Dot Product Random Graph Model
Shiwen Yang, Daniel L. Sussman
We introduce the attractor-based coevolving dot product random graph model (ABCDPRGM) to analyze time-series network data manifesting polarizing or flocking behavior. Graphs are ge…
stat.ML2024
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…