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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

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.review of existing graph processing platforms by dividing them into generalpurpose and specialized systems

Keywords： Graph workloads     Graph applications     Graph processing systems    

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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

Abstract: This paper reviews some main results and progress in distributed multi-agent coordination from a graphDistributed multi-agent coordination has been a very active subject studied extensively by the systemssurvey of existing literature in distributed multi-agent coordination and a new perspective in terms of graphFor different types of graph Laplacians, we summarize their inherent coordination features and specific

Keywords： Multi-agent systems     Distributed coordination     Graph Laplacian    

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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

Abstract: system's spatial information such as the electrical distance to increase the accuracy in the process of graphuses power system topology and spatial information to optimize the edge weight assignment of the line graphThen we propose a multi-graph convolutional network (MGCN) based on a graph classification task, whichproblem with that have parallel lines, where our method can maintain desirable accuracy in modeling systems

Keywords： Power systems     Vulnerability     Cascading failures     Multi-graph convolutional networks     Weighted line graph    

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: Precisely understanding the business relationships between autonomous systems (ASes) is essential forWe then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 143-158 doi: 10.1007/s42524-023-0273-1

Abstract: In this work, we present a framework for knowledge graph construction in the industrial domain, predicatedFor relation extraction, this paper introduces the knowledge-enhanced graph inference (KEGI) network,This method discerns intricate interactions among entities by constructing a document graph and innovativelyOn the application stratum, BiLSTM-CRF and KEGI are utilized to craft a knowledge graph from a knowledgeThe quality of the extracted knowledge graph complies with the requirements of real-world production

Keywords： knowledge graph construction     industrial     BiLSTM-CRF     document-level relation extraction     graph inference    

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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

Abstract: With the increasing energy consumption of computing systems and the growing advocacy for green computingenergy efficiency has become one of the critical challenges in high-performance heterogeneous computing systemsalgorithm with equalized frequency, called EASEF, for parallel applications on heterogeneous computing systemsadopts a progressive way to equalize the frequency of tasks to reduce the total energy consumption of systems

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Review on flexible perovskite photodetector: processing and applications

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0749-z

Abstract: optical and electrical properties, remarkable mechanical flexibility, low-cost and low-temperature processingphotodetectors, strategies for device performance enhancement, few can be seen with a focus on the processingEmphatically, processing strategies for photodetectors are presented following, including flexible substrates

Keywords： photodetector     perovskite     flexible     processing     application    

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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

Abstract:

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    

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Recent advances in co-processing biomass feedstock with petroleum feedstock: A review

Frontiers in Energy doi: 10.1007/s11708-024-0920-1

Abstract: Co-processing of biomass feedstock with petroleum feedstock in existing refineries is a promising technologyMuch effort has been dedicated to advancing co-processing technologies.process for the further development of co-processing technologies.Moreover, it summarizes and discusses co-processing projects in pilot or larger scale.Furthermore, it briefly prospects the research trend of co-processing in the end.

Keywords： co-processing     biomass     bio-oil     petroleum feedstock     fluid catalytic cracking     hydrotreating    

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

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

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.FCN), proving that GCN has great potential of application in image segmentation and underwater image processing

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

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A bilateral heterogeneous graph model for interpretable job recommendation considering both reciprocity

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 128-142 doi: 10.1007/s42524-023-0280-2

Abstract: job-seeking approaches in the recruitment ecosystem, the importance of automated job recommendation systemsTo counteract these limitations, we propose a bilateral heterogeneous graph-based competition iteration

Keywords： job recommendation     competition     reciprocity     interpretability    

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An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling Article

Hamid Reza BOVEIRI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 498-510 doi: 10.1631/FITEE.1500394

Abstract: challenges to achieve high performance in multiprocessor environments such as parallel and distributed systems

Keywords： Ant colony optimization     List scheduling     Multiprocessor task graph scheduling     Parallel and distributedsystems    

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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

Abstract: At present, it is very significant that certain scholars have combined the concept of the knowledge graph

Keywords： Cybersecurity     Knowledge graph     Knowledge deduction    

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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

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis

Keywords： disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

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Revolution and challenges in machining processing aimed at carbon reduction

Frontiers of Mechanical Engineering 2024, Volume 19, Issue 1, doi: 10.1007/s11465-023-0771-1

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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

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

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

Review on flexible perovskite photodetector: processing and applications

Journal Article

Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Journal Article

Recent advances in co-processing biomass feedstock with petroleum feedstock: A review

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

A bilateral heterogeneous graph model for interpretable job recommendation considering both reciprocity

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

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

Revolution and challenges in machining processing aimed at carbon reduction

Journal Article