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A forwarding graph embedding algorithm exploiting regional topology information Article

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1854-1866 doi: 10.1631/FITEE.1601404

Abstract: Allocating physical resources to the virtual network function forwarding graph is a critical issue inWe formulate the forwarding graph embedding (FGE) problem as a binary integer programming problem, whichWe then design a novel regional resource clustering metric to quantify the embedding potential of each

Keywords： Network function virtualization Virtual network function Forwarding graph embedding

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Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Frontiers of Structural and Civil Engineering Pages 1397-1414 doi: 10.1007/s11709-022-0860-y

Abstract: considering the severity of the ultimate collapse scenario are proposed using reinforcement learning and graphembedding.estimation of the Q values, and handle problems with different action spaces owing to utilization of graphembedding.

Keywords： progressive collapse alternate load path demolition planning reinforcement learning graph embedding

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Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Engineering 2023, Volume 22, Issue 3, Pages 14-19 doi: 10.1016/j.eng.2021.08.018

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Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2, Pages 109-118 doi: 10.1631/FITEE.1400147

Abstract: As a great challenge of network virtualization, virtual network embedding/mapping is increasingly importantconsidering the topological attributes which may pose significant impact on the performance of the embeddingIn this paper, a new embedding algorithm is proposed based on real-time topological attributes.The concept of betweenness centrality in graph theory is borrowed to sort the nodes of VNs, and the nodesA simulator is built to evaluate the performance of the proposed virtual network embedding (VNE) algorithm

Keywords： Virtual network embedding (VNE) Real-time topological attributes Betweenness centrality Correlation

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We 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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Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: As a joint-optimization problem which simultaneously fulfills two different but correlated embeddingtasks (i.e., entity embedding and relation embedding), knowledge embedding problem is solved in a jointembedding scheme.In this embedding scheme, we design a joint compatibility scoring function to quantitatively evaluateExperimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic

Keywords： Knowledge embedding Joint embedding Cost-sensitive learning

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Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3, Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: paper, we introduce a novel feature extraction method called local uncorrelated local discriminant embeddingThe proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inSecond, we reconstruct the affinity matrices of an intrinsic graph and a penalty graph, which are mentioned

Keywords： Feature extraction Local discriminant embedding Local uncorrelated criterion Face recognition

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Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0961-3

Abstract: A novel microorganism embedding material was prepared to enhance the biological nitrogen removal throughrate and high nitrogen removal efficiency, which is a favorable additional agent to the traditional embedding

Keywords： Immobilization technology Nitrogen removal Cyclodextrin Microbial community Wastewater treatment

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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.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords： Graph workloads Graph applications Graph processing systems

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Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4, Pages 547-557 doi: 10.1007/s11465-020-0595-1

Abstract: Carbon fiber reinforced polymer (CFRP) composites have excellent mechanical properties, specifically, high specific stiffness and strength. However, most CFRP composites exhibit poor impact resistance. To overcome this limitation, this study presents a new plain-woven CFRP composite embedded with superelastic shape memory alloy (SMA) wires. Composite specimens are fabricated using the vacuum-assisted resin injection method. Drop-weight impact tests are conducted on composite specimens with and without SMA wires to evaluate the improvement of impact resistance. The material models of the CFRP composite and superelastic SMA wire are introduced and implemented into a finite element (FE) software by the explicit user-defined material subroutine. FE simulations of the drop-weight impact tests are performed to reveal the superelastic deformation and debonding failure of the SMA inserts. Improvement of the energy absorption capacity and toughness of the SMA-CFRP composite is confirmed by the comparison results.

Keywords： carbon fiber reinforced polymer composite shape memory alloy wire impact resistance drop-weight test finite element simulation

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

Frontiers of Structural and Civil Engineering Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.

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

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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 graphsurvey 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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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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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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Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1267-1412 doi: 10.1631/FITEE.1900571

Abstract: this study, a novel framework based on is proposed to address such problems, in which a new hybrid embedding

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Title Author Date Type Operation

A forwarding graph embedding algorithm exploiting regional topology information

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Journal Article

Deep reinforcement learning-based critical element identification and demolition planning of frame structures

Journal Article

Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial Knowledge Graph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Journal Article

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

Preparation and characterization of a novel microorganism embedding material for simultaneous nitrification

Ming Zeng, Ping Li, Nan Wu, Xiaofang Li, Chang Wang

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

Improvement of impact resistance of plain-woven composite by embedding superelastic shape memory alloy

Xiaojun GU, Xiuzhong SU, Jun WANG, Yingjie XU, Jihong ZHU, Weihong ZHANG

Journal Article

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

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

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

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Journal Article

Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

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