The Laplacian eigenvalue spectrum of a complex network contains a great deal of
information about the network topology and dynamics, particularly affecting the network …

As a pivotal tool to alleviate the information overload problem, recommender systems aim to
predict user's preferred items from millions of candidates by analyzing observed user-item …

Searching for key nodes and edges in a network is a long-standing problem. Recently cycle
structure in a network has received more attention. Is it possible to propose a ranking …

To explore evolutionary dynamics of collective behaviors within the interconnected
population, previous studies usually map non-pairwise interactions to higher-order static …

Networks in nature have complex interactions among agents. One significant phenomenon
induced by interactions is synchronization of coupled agents, and the interactive network …

In neuronal network analysis on, for example, synchronization, it has been observed that the
influence of interactions between pairwise nodes is essential. This paper further reveals that …

It is demonstrated that higher-order patterns beyond pairwise relations can significantly
enhance the learning capability of existing graph-based models, and simplex is one of the …

In recent network research, more and more efforts have been devoted to studying higher-
order interactions in complex networks that explain some intrinsic properties, discover …

Traditional network analysis focuses on the representation of complex systems with only
pairwise interactions between nodes. However, the higher-order structure, which is beyond …

Neurons in a neural circuit exhibit astonishing diversity in terms of the numbers and targets
of their synaptic connections and the statistics of their spiking activity. We hypothesize that …