Gathering events, eg, going to gyms and meetings, are ubiquitous and crucial in the
spreading phenomena, which induce higher-order interactions, and thus can be described …

Despite the recent successes of vanilla Graph Neural Networks (GNNs) on many tasks, their
foundation on pairwise interaction networks inherently limits their capacity to discern latent …

Empirical networks exhibit significant heterogeneity in node connections, resulting in a few
vertices playing critical roles in various scenarios, including decision-making, viral …

Empirical networks possess considerable heterogeneity of node connections, resulting in a
small portion of nodes playing crucial roles in network structure and function. Yet, how to …

Null models are crucial tools for investigating network topological structures. However,
research on null models for higher-order networks is still relatively scarce. In this study, we …

Identifying influential nodes on directed networks is a challenging and widely studied task
that keeps drawing extensive attention from both academia and industry. The simultaneous …

Graph research, the systematic study of interconnected data points represented as graphs,
plays a vital role in capturing intricate relationships within networked systems. However, in …