382 citations · 1.9k across the 53 of their papers we have counts for
53 papers
Structural Robustness of Complex Networks: A Survey of A Posteriori Measures
Yang Lou, Lin Wang, Guanrong Chen
Network robustness is critical for various industrial and social networks against malicious attacks, which has various meanings in different research contexts and here it refers to…
Computing persistent homology by spanning trees and critical simplices
Dinghua Shi, Zhifeng Chen, Chuang Ma +1
Topological data analysis can extract effective information from higher-dimensional data. Its mathematical basis is persistent homology. The persistent homology can calculate topol…
Resistance Distances in Simplicial Networks
Mingzhe Zhu, Wanyue Xu, Zhongzhi Zhang +2
It is well known that in many real networks, such as brain networks and scientific collaboration networks, there exist higher-order nonpairwise relations among nodes, i.e., interac…
A Learning Convolutional Neural Network Approach for Network Robustness Prediction
Yang Lou, Ruizi Wu, Junli Li +3
Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity robustness and controllability robustness reflect h…
Null Model-Based Data Augmentation for Graph Classification
Qi Xuan, Zeyu Wang, Jinhuan Wang +3
In network science, the null model is typically used to generate a series of graphs based on randomization as a term of comparison to verify whether a network in question displays…
Hyperparameter-free and Explainable Whole Graph Embedding
Hao Wang, Yue Deng, Linyuan Lü +1
Graphs can be used to describe complex systems. Recently, whole graph embedding (graph representation learning) can compress a graph into a compact lower-dimension vector while pre…