no code implementations • 13 May 2023 • Chengpei Wu, Yang Lou, Lin Wang, Junli Li, Xiang Li, Guanrong Chen
This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks.
no code implementations • 2 Mar 2023 • Acong Zhang, Ping Li, Guanrong Chen
In the semi-supervised setting where labeled data are largely limited, it remains to be a big challenge for message passing based graph neural networks (GNNs) to learn feature representations for the nodes with the same class label that is distributed discontinuously over the graph.
no code implementations • 14 Jun 2022 • Xiaoxu Lv, Peihu Duan, Zhisheng Duan, Guanrong Chen, Ling Shi
This paper proposes an event-triggered variational Bayesian filter for remote state estimation with unknown and time-varying noise covariances.
no code implementations • 20 Mar 2022 • Yang Lou, Ruizi Wu, Junli Li, Lin Wang, Xiang Li, Guanrong Chen
Extensive experimental studies on both synthetic and real-world networks, both directed and undirected, demonstrate that 1) the proposed LFR-CNN performs better than other two state-of-the-art prediction methods, with significantly lower prediction errors; 2) LFR-CNN is insensitive to the variation of the network size, which significantly extends its applicability; 3) although LFR-CNN needs more time to perform feature learning, it can achieve accurate prediction faster than attack simulations; 4) LFR-CNN not only can accurately predict network robustness, but also provides a good indicator for connectivity robustness, better than the classical spectral measures.
no code implementations • 18 Jan 2022 • Peihu Duan, Lidong He, Lingying Huang, Guanrong Chen, Ling Shi
The goal of this paper is to seek an optimal sensor scheduling policy minimizing the overall estimation errors.
no code implementations • 13 Dec 2021 • Jiachen Qian, Peihu Duan, Zhisheng Duan, Guanrong Chen, Ling Shi
For consensus on measurement-based distributed filtering (CMDF), through infinite consensus fusion operations during each sampling interval, each node in the sensor network can achieve optimal filtering performance with centralized filtering.
no code implementations • 17 Nov 2021 • Xinxing Wu, Tao Wang, Qian Liu, Peide Liu, Guanrong Chen, Xu Zhang
By introducing a new operator for IFVs via the linear order based on a score function and an accuracy function, we show that such an operator is a strong negation on IFVs.
1 code implementation • 4 Aug 2021 • Hao Wang, Yue Deng, Linyuan Lü, Guanrong Chen
Graphs can be used to describe complex systems.
no code implementations • 3 Jan 2021 • Dinghua Shi, Zhifeng Chen, Xiang Sun, Qinghua Chen, Chuang Ma, Yang Lou, Guanrong Chen
Complex networks contain complete subgraphs such as nodes, edges, triangles, etc., referred to as simplices and cliques of different orders.
no code implementations • 11 Jul 2020 • Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan
Graph classification, which aims to identify the category labels of graphs, plays a significant role in drug classification, toxicity detection, protein analysis etc.
no code implementations • 4 Feb 2020 • Qi Xuan, Yalu Shan, Jinhuan Wang, Zhongyuan Ruan, Guanrong Chen
It is found that both DALR and DILR are more effective than RLR, in the sense that rewiring a smaller number of links can succeed in the same attack.
Social and Information Networks Physics and Society
no code implementations • 26 Aug 2019 • Yang Lou, Yaodong He, Lin Wang, Guanrong Chen
Under the new framework, a fairly large number of training data generated by simulations are used to train a convolutional neural network for predicting the controllability robustness according to the input network-adjacency matrices, without performing conventional attack simulations.
no code implementations • 21 Mar 2019 • Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen
In other words, the structural features of SGNs can complement that of the original network for better network classification, regardless of the feature extraction method used, such as the handcrafted, network embedding and kernel-based methods.
Ranked #10 on Graph Classification on MUTAG
no code implementations • 16 Mar 2019 • Yang Lou, Shiu Yin Yuen, Guanrong Chen, Xin Zhang
The entire on-line search history of cNrGA is stored in a binary space partitioning (BSP) tree, which is effective for performing local search.
no code implementations • 16 Sep 2018 • Shanqing Yu, Minghao Zhao, Chenbo Fu, Huimin Huang, Xincheng Shu, Qi Xuan, Guanrong Chen
This is the first time to study privacy protection on targeted links against link-prediction-based attacks.
Social and Information Networks Physics and Society
no code implementations • 20 May 2016 • Yang Lou, Guanrong Chen, Zhengping Fan, Luna Xiang
Naming game, on the other hand, is a social communication model that simulates the process of learning a name of an object within a community of humans, where the individuals can generally reach global consensus asymptotically through iterative pair-wise conversations.
no code implementations • 28 Dec 2015 • Yang Lou, Guanrong Chen, Jianwei Hu
Naming game simulates the process of naming an object by a single word, in which a population of communicating agents can reach global consensus asymptotically through iteratively pair-wise conversations.