Search Results - "Liu, Fanzhen"

Detecting the evolving community structure in dynamic social networks by Liu, Fanzhen, Wu, Jia, Xue, Shan, Zhou, Chuan, Yang, Jian, Sheng, Quanzheng

“…Identifying the evolving community structure of social networks has recently drawn increasing attention. Evolutionary clustering, previously proposed to detect…”
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eRiskCom: an e-commerce risky community detection platform by Liu, Fanzhen, Li, Zhao, Wang, Baokun, Wu, Jia, Yang, Jian, Huang, Jiaming, Zhang, Yiqing, Wang, Weiqiang, Xue, Shan, Nepal, Surya, Sheng, Quan Z.

“…In e-commerce scenarios, frauds events such as telecom fraud, insurance fraud, and fraudulent transactions, bring a huge amount of loss to merchants or users…”
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Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams by Wu, Jia, Li, Xiulai, Cheng, Jieren, Liu, Fanzhen, Xue, Shan, Liu, Sanmin, Kong, Chao

“…Data stream classification becomes a promising prediction work with relevance to many practical environments. However, under the environment of concept drift…”
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A Comprehensive Survey on Community Detection With Deep Learning by Su, Xing, Xue, Shan, Liu, Fanzhen, Wu, Jia, Yang, Jian, Zhou, Chuan, Hu, Wenbin, Paris, Cecile, Nepal, Surya, Jin, Di, Sheng, Quan Z., Yu, Philip S.

“…Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other…”
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Robustness analysis of the complex network by Mingxin Liang, Fanzhen Liu, Chao Gao, Zili Zhang

“…The robustness is one of the primary characteristics of a real system, which impacts the function and performance of the system. Many real systems in our real…”
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Inferring infection rate based on observations in complex networks by Su, Zhen, Liu, Fanzhen, Gao, Chao, Gao, Shupeng, Li, Xianghua

“…The infection rate of a propagation model is an important factor for characterizing a dynamic diffusion process accurately, which determines the scale and…”
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DAGAD: Data Augmentation for Graph Anomaly Detection by Liu, Fanzhen, Ma, Xiaoxiao, Wu, Jia, Yang, Jian, Xue, Shan, Beheshti, Amin, Zhou, Chuan, Peng, Hao, Sheng, Quan Z., Aggarwal, Charu C.

“…Graph anomaly detection in this paper aims to distinguish abnormal nodes that behave differently from the benign ones accounting for the majority of…”
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Evolutionary Community Detection in Dynamic Social Networks by Liu, Fanzhen, Wu, Jia, Zhou, Chuan, Yang, Jian

“…Evolutionary clustering is a way of detecting the evolving patterns of communities in dynamic social networks. In principle, the detection process seeks to…”
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A novel strategy of initializing the population size for ant colony optimization algorithms in TSP by Liu, Fanzhen, Zhong, Jiaqi, Liu, Chen, Gao, Chao, Li, Xianghua

“…The ant colony optimization (ACO) algorithm belonging to swarm intelligence methods has been used to solve quantities of optimization problems. Among those…”
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DAGAD: Data Augmentation for Graph Anomaly Detection by Liu, Fanzhen, Ma, Xiaoxiao, Wu, Jia, Yang, Jian, Xue, Shan, Beheshti, Amin, Zhou, Chuan, Peng, Hao, Sheng, Quan Z, Aggarwal, Charu C

“…Graph anomaly detection in this paper aims to distinguish abnormal nodes that behave differently from the benign ones accounting for the majority of…”
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A Comprehensive Survey on Community Detection with Deep Learning by Su, Xing, Xue, Shan, Liu, Fanzhen, Wu, Jia, Yang, Jian, Zhou, Chuan, Hu, Wenbin, Paris, Cecile, Nepal, Surya, Jin, Di, Sheng, Quan Z, Yu, Philip S

“…IEEE Transactions on Neural Networks and Learning Systems, 2022: 1-21 A community reveals the features and connections of its members that are different from…”
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Deep Learning for Community Detection: Progress, Challenges and Opportunities by Liu, Fanzhen, Xue, Shan, Wu, Jia, Zhou, Chuan, Hu, Wenbin, Paris, Cecile, Nepal, Surya, Yang, Jian, Yu, Philip S

“…IJCAI 2020: 4981-4987 As communities represent similar opinions, similar functions, similar purposes, etc., community detection is an important and extremely…”
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