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 …

Alzheimer's disease (AD) is a neurological illness that causes cognitive impairment and has
no known treatment. The premise for delivering timely therapy is the early diagnosis of AD …

Hypergraphs (ie, sets of hyperedges) naturally represent group relations (eg, researchers co-
authoring a paper and ingredients used together in a recipe), each of which corresponds to …

Many real-world interactions (eg, researcher collaborations and email communication) occur
among multiple entities. These group interactions are naturally modeled as hypergraphs. In …

Network (or graph) sparsification accelerates many downstream analyses. For graph
sparsification, sampling methods derived from local heuristic considerations are common in …

What kind of macroscopic structural and dynamical patterns can we observe in real-world
hypergraphs? What can be underlying local dynamics on individuals, which ultimately lead …

Group interactions arise in our daily lives (email communications, on-demand ride sharing,
and comment interactions on online communities, to name a few), and they together form …

Sequences of group interactions, such as emails, online discussions, and co-authorships,
are ubiquitous; and they are naturally represented as a stream of hyperedges. Despite their …

Hypergraphs are instrumental in modeling complex relational systems that encompass a
wide spectrum of high-order interactions among components. One prevalent analysis task is …

Graphs are widely used for representing pairwise interactions in complex systems. Since
such real-world graphs are large and often evergrowing, sampling subgraphs is useful for …