81 citations · 336 across the 22 of their papers we have counts for
22 papers
GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
Canyixing Cui, Tao Wu, Xingping Xian +3
Graph Neural Networks (GNNs) are vulnerable to adversarial attacks, which inherently invert connectivity patterns by introducing disassortative edges in assortative graphs and asso…
Uncovering multi-order Popularity and Similarity Mechanisms in Link Prediction by graphlet predictors
Yong-Jian He, Yijun Ran, Zengru Di +2
Link prediction has become a critical problem in network science and has thus attracted increasing research interest. Popularity and similarity are two primary mechanisms in the fo…
Higher-order Fuzzy Membership in Motif Modularity Optimization
Jing Xiao, Ya-Wei Wei, Xiao-Ke Xu
Higher-order community detection (HCD) reveals both mesoscale structures and functional characteristics of real-life networks. Although many methods have been developed from divers…
COVID-19 spreading patterns in family clusters reveal gender roles in China
Jingyi Liao, Xiao Fan Liu, Xiao-Ke Xu +1
Unfolding different gender roles is preceding the efforts to reduce gender inequality. This paper analyzes COVID-19 family clusters outside Hubei Province in mainland China during…
DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2
Yiming Du, Zhuotian Li, Qian He +7
Predicting cross-immunity between viral strains is vital for public health surveillance and vaccine development. Traditional neural network methods, such as BiLSTM, could be ineffe…
Characterizing human collective behaviours of COVID-19 in Hong Kong
Zhanwei Du, Xiao Zhang, Lin Wang +12
People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has imple…
The maximum capability of a topological feature in link prediction
Yijun Ran, Xiao-Ke Xu, Tao Jia
Networks offer a powerful approach to modeling complex systems by representing the underlying set of pairwise interactions. Link prediction is the task that predicts links of a net…
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…
A novel similarity measure for mining missing links in long-path networks
Yijun Ran, Tianyu Liu, Tao Jia +1
Network information mining is the study of the network topology, which answers a large number of application-based questions towards the structural evolution and the function of a…
Evolutionary of Online Social Networks Driven by Pareto Wealth Distribution and Bidirectional Preferential Attachment
Bin Zhou, Xiao-Yong Yan, Xiao-Ke Xu +2
Understanding of evolutionary mechanism of online social networks is greatly significant for the development of network science. However, present researches on evolutionary mechani…
Multi-resolution community detection based on generalized self-loop rescaling strategy
Ju Xiang, Yan-Ni Tang, Yuan-Yuan Gao +4
Community detection is of considerable importance for analyzing the structure and function of complex networks. Many real-world networks may possess community structures at multipl…
Measuring multiple evolution mechanisms of complex networks
Qian-Ming Zhang, Xiao-Ke Xu, Yu-Xiao Zhu +1
Numerous concise models such as preferential attachment have been put forward to reveal the evolution mechanisms of real-world networks, which show that real-world networks are usu…
Multiscale characterization of recurrence-based phase space networks constructed from time series
Ruoxi Xiang, Jie Zhang, Xiao-ke Xu +1
Recently, a framework for analyzing time series by constructing an associated complex network has attracted significant research interest. One of the advantages of the complex netw…
Generating self-organizing collective behavior using separation dynamics from experimental data
Graciano Dieck Kattas, Xiao-ke Xu, Michael Small
Mathematical models for systems of interacting agents using simple local rules have been proposed and shown to exhibit emergent swarming behavior. Most of these models are construc…
Pairwise interaction pattern in the weighted communication network
Xiao-Ke Xu, Jian-Bo Wang, Ye Wu +1
Although recent studies show that both topological structures and human dynamics can strongly affect information spreading on social networks, the complicated interplay of the two…
Reciprocal relationships in collective flights of homing pigeons
Xiao-Ke Xu, Graciano Dieck Kattas, Michael Small
Collective motion of bird flocks can be explained via the hypothesis of many wrongs, and/or, a structured leadership mechanism. In pigeons, previous studies have shown that there i…
Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion
Graciano Dieck Kattas, Xiao-Ke Xu, Michael Small
Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational…
Optimizing and controlling functions of complex networks by manipulating rich-club connections
Xiao-ke xu, Jie Zhang, Ping Li +1
Traditionally, there is no evidence suggesting that there are strong ties between the rich-club property and the function of complex networks. In this study, we find that whether a…
Rich-club connectivity dominates assortativity and transitivity of complex networks
Xiao-Ke Xu, Jie Zhang, Michael Small
Rich-club, assortativity and clustering coefficients are frequently-used measures to estimate topological properties of complex networks. Here we find that the connectivity among a…
Effects of Levy Flights Mobility Pattern on Epidemic Spreading under Limited Energy Constraint
Yanqing Hu, Dan Luo, Xiaoke Xu +2
Recently, many empirical studies uncovered that animal foraging, migration and human traveling obey Levy flights with an exponent around -2. Inspired by the deluge of H1N1 this yea…
Revising the simple measures of assortativity in complex networks
Xiao-Ke Xu, Jie Zhang, Junfeng Sun +1
We find that traditional statistics for measuring degree mixing are strongly affected by superrich nodes. To counteract and measure the effect of superrich nodes, we propose a para…
Mapping from Architecture to Dynamics: A Unified View of Dynamical Processes on Networks
Jie Zhang, Changsong Zhou, Xiaoke Xu +1
Although it is unambiguously agreed that structure plays a fundamental role in shaping the dynamics of complex systems, this intricate relationship still remains unclear. We invest…