Simplicial complexes have recently been in the limelight of higher-order...
Empirical networks possess considerable heterogeneity of node connection...
Deep reinforcement learning (DRL) is becoming increasingly popular in
im...
Clusters or communities can provide a coarse-grained description of comp...
Recently, finding fundamental properties for traffic state representatio...
Since conventional approaches could not adapt to dynamic traffic conditi...
Many real-world complex systems can be described as graphs. For a large-...
Scientific and technological progress is largely driven by firms in many...
Ranking algorithms are pervasive in our increasingly digitized societies...
The ubiquitous existence of cycles is one of important originations of
n...
Online news can quickly reach and affect millions of people, yet little ...
Despite the increasing use of citation-based metrics for research evalua...
Influential nodes in complex networks are typically defined as those nod...
We propose a directed acyclic hypergraph framework for a probabilistic
g...
When we search online for content, we are constantly exposed to rankings...
The ongoing rapid development of the e-commercial and interest-base webs...
In this paper, we empirically analyze the spatial distribution of Chines...
Recommender systems, inferring users' preferences from their historical
...