1k citations · 2.7k across the 52 of their papers we have counts for
52 papers
Data organization limits the predictability of binary classification
Fei Jing, Zi-Ke Zhang, Yi-Cheng Zhang +1
The structure of data organization is widely recognized as having a substantial influence on the efficacy of machine learning algorithms, particularly in binary classification task…
Complexity of Government response to Covid-19 pandemic: A perspective of coupled dynamics on information heterogeneity and epidemic outbreak
Xiaoqi Zhang, Jie Fu, Sheng Hua +2
This study aims at modeling the universal failure in preventing the outbreak of COVID-19 via real-world data from the perspective of complexity and network science. Through formali…
A universal meta-heuristic framework for influence maximization in hypergraphs
Ming Xie, Xiu-Xiu Zhan, Chuang Liu +1
Influence maximization (IM) aims to select a small number of nodes that are able to maximize their influence in a network and covers a wide range of applications. Despite numerous…
A hyper-distance-based method for hypernetwork comparison
Tao Xu, Xiaowen Xie, Zi-Ke Zhang +2
Hypernetwork is a useful way to depict multiple connections between nodes, making it an ideal tool for representing complex relationships in network science. In recent years, there…
Vital node identification in hypergraphs via gravity model
Xiao-Wen Xie, Xiu-Xiu Zhan, Zi-Ke Zhang +1
Hypergraphs that can depict interactions beyond pairwise edges have emerged as an appropriate representation for modeling polyadic relations in complex systems. With the recent sur…
Influence Maximization in Hypergraphs
Ming Xie, Xiu-Xiu Zhan, Chuang Liu +1
Influence maximization in complex networks, i.e., maximizing the size of influenced nodes via selecting K seed nodes for a given spreading process, has attracted great attention in…