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Large-scale graph processing systems: a survey Review
Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3, Pages 384-404 doi: 10.1631/FITEE.1900127
Keywords: Graph workloads Graph applications Graph processing systems
Distributed coordination inmulti-agent systems: a graph Laplacian perspective
Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 429-448 doi: 10.1631/FITEE.1500118
Keywords: Multi-agent systems Distributed coordination Graph Laplacian
Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional Research Article
Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1848-1861 doi: 10.1631/FITEE.2200035
Keywords: Power systems Vulnerability Cascading failures Multi-graph convolutional networks Weighted line graph
Classifying multiclass relationships between ASes using graph convolutional network
Frontiers of Engineering Management Pages 653-667 doi: 10.1007/s42524-022-0217-1
Keywords: autonomous system multiclass relationship graph convolutional network classification algorithm Internet
Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems
Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7, Pages 519-531 doi: 10.1631/FITEE.1400399
Keywords: Directed acyclic graph Dynamic voltage scaling Energy aware Heterogeneous systems Task scheduling
Review on flexible perovskite photodetector: processing and applications
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0749-z
Keywords: photodetector perovskite flexible processing application
Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems
Zheng Qinghua , Shi Bin , Dong Bo
Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 221-231 doi: 10.15302/J-SSCAE-2023.07.005
Taxation is vital for national governance, and the digital transformation of governments necessitates smart taxation. Therefore, analyzing the key issues and exploring the development ideas for smart taxation is of both theoretical and practical values. In this study, following an analysis of the development status and challenges facing China’s intelligent taxation field, we proposed a big data knowledge engineering approach that emphasizes data knowledgeization, knowledge systematization, and knowledge reasonability, and developed a five-layer technical architecture that consists of knowledge sources, knowledge extraction, knowledge mapping, knowledge reasoning, and application layers. After elaborating the representative application scenarios including knowledge-driven tax preference calculation, interpretable tax risk identification, intelligent decision support for tax policies, and smart tax questioning,we investigated the limitations of the proposed approach and further discussed the directions for future research. Furthermore, we proposed the following development suggestions in terms of data, technology, and ecology: (1) standardizing tax-related information and improving the national data sharing, opening, and guarantee system; (2) integrating the achievements of various information disciplines and improving the application system of big data knowledge engineering for smart taxation; and (3) promoting talent training and the development of technical standards for big data knowledge engineering.
Keywords: smart taxation knowledge engineering big data knowledge graph knowledge reasoning
Wenxuan CAO; Junjie LI
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11, Pages 1378-1396 doi: 10.1007/s11709-022-0855-8
Keywords: underwater cracks remote operated vehicle image stitching image segmentation graph convolutional
Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang
Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 498-505 doi: 10.1007/s11684-020-0791-8
Keywords: disorders of sex development (DSD) intelligent diagnosis dynamic uncertain causality graph
Hamid Reza BOVEIRI
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 498-510 doi: 10.1631/FITEE.1500394
Keywords: Ant colony optimization List scheduling Multiprocessor task graph scheduling Parallel and distributedsystems
A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Article
Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li
Engineering 2018, Volume 4, Issue 1, Pages 53-60 doi: 10.1016/j.eng.2018.01.004
Keywords: Cybersecurity Knowledge graph Knowledge deduction
Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3, Pages 480-480 doi: 10.1631/FITEE.22e0073
A DNA Computing Model for the Graph Vertex Coloring Problem Based on a Probe Graph Article
Jin Xu, Xiaoli Qiang, Kai Zhang, Cheng Zhang, Jing Yang
Engineering 2018, Volume 4, Issue 1, Pages 61-77 doi: 10.1016/j.eng.2018.02.011
Keywords: DNA computing Graph vertex coloring problem Polymerase chain reaction
Qiang LAN, Lin-bo QIAO, Yi-jie WANG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 755-762 doi: 10.1631/FITEE.1601771
Keywords: Stochastic optimization Graph-guided minimization Extra-gradient method Fused logistic regression Graph-guided
Assessment of popular techniques for co-processing municipal solid waste in Chinese cement kilns
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1485-4
• Municipal solid waste (MSW) was fermented, screened, gasified, then co-processed.
Keywords: Cement kiln Co-processing Environmental risk assessment By-pass system
Title Author Date Type Operation
Large-scale graph processing systems: a survey
Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI
Journal Article
Distributed coordination inmulti-agent systems: a graph Laplacian perspective
Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN
Journal Article
Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional
Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN
Journal Article
Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems
Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI
Journal Article
Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems
Zheng Qinghua , Shi Bin , Dong Bo
Journal Article
Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural
Wenxuan CAO; Junjie LI
Journal Article
Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of
Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang
Journal Article
An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling
Hamid Reza BOVEIRI
Journal Article
A Practical Approach to Constructing a Knowledge Graph for Cybersecurity
Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li
Journal Article
Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable
Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG
Journal Article
A DNA Computing Model for the Graph Vertex Coloring Problem Based on a Probe Graph
Jin Xu, Xiaoli Qiang, Kai Zhang, Cheng Zhang, Jing Yang
Journal Article
Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization
Qiang LAN, Lin-bo QIAO, Yi-jie WANG
Journal Article