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 …

A directed hypergraph, which consists of nodes and hyperarcs, is a higher-order data
structure that naturally models directional group interactions (eg, chemical reactions of …

Network embeddings, which map nodes to low-dimensional vectors, facilitate link prediction,
a pivotal aspect of complex network research. However, existing methods often overlook the …

Temporal motifs are recurring subgraph patterns in temporal graphs, and are present in
various domains such as social networks, fraud detection, and biological networks. Despite …

Graphs are widely used for modeling various types of interactions, such as email
communications and online discussions. Many of such real-world graphs are temporal, and …

Graphs are widely used to model complex systems across various domains, including social
networks and biological systems. A key task in graph analysis is identifying recurring …

Complex systems frequently exhibit multi-way, rather than pairwise, interactions. These
group interactions cannot be faithfully modeled as collections of pairwise interactions using …