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Web Information Systems Engineering – WISE 2020

21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Zhisheng Huang

    1. VU Amsterdam, Amsterdam, The Netherlands

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  2. Wouter Beek

    1. VU Amsterdam, Amsterdam, The Netherlands

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  3. Hua Wang

    1. Victoria University, Melbourne, Australia

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  4. Rui Zhou

    1. Swinburne University of Technology, Hawthorn, Australia

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  5. Yanchun Zhang

    1. Victoria University, Melbourne, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12342)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: WISE 2020.

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Table of contents (41 papers)

  1. Front Matter

    Pages i-xviii
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  2. Network Embedding

    1. Front Matter

      Pages 1-1
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    2. Higher-Order Graph Convolutional Embedding for Temporal Networks

      • Xian Mo, Jun Pang, Zhiming Liu
      Pages 3-15

    3. RolNE: Improving the Quality of Network Embedding with Structural Role Proximity

      • Qi Liang, Dan Luo, Lu Ma, Peng Zhang, MeiLin Zhou, YongQuan He et al.
      Pages 16-28

    4. Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks

      • Yongjun Zhang, Xiaoping Yang, Liang Wang
      Pages 29-40

    5. A Graph Embedding Based Real-Time Social Event Matching Model for EBSNs Recommendation

      • Gang Wu, Xueyu Li, Kaiqian Cui, Zhiyong Chen, Baiyou Qiao, Donghong Han et al.
      Pages 41-55

    6. Competitor Mining from Web Encyclopedia: A Graph Embedding Approach

      • Xin Hong, Peiquan Jin, Lin Mu, Jie Zhao, Shouhong Wan
      Pages 56-68

  3. Graph Neural Network

    1. Front Matter

      Pages 69-69
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    2. Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks

      • Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo
      Pages 71-82

    3. DynGCN: A Dynamic Graph Convolutional Network Based on Spatial-Temporal Modeling

      • Jing Li, Yu Liu, Lei Zou
      Pages 83-95

    4. NeuLP: An End-to-End Deep-Learning Model for Link Prediction

      • Zhiqiang Zhong, Yang Zhang, Jun Pang
      Pages 96-108

    5. PLSGAN: A Power-Law-modified Sequential Generative Adversarial Network for Graph Generation

      • Qijie Bai, Yanting Yin, Yining Lian, Haiwei Zhang, Xiaojie Yuan
      Pages 109-121

  4. Social Network

    1. Front Matter

      Pages 123-123
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    2. User Profile Linkage Across Multiple Social Platforms

      • Manman Wang, Wei Chen, Jiajie Xu, Pengpeng Zhao, Lei Zhao
      Pages 125-140

    3. Budgeted Influence Maximization with Tags in Social Networks

      • Suman Banerjee, Bithika Pal, Mamata Jenamani
      Pages 141-152

    4. Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes

      • Ankita Likhyani, Vinayak Gupta, P. K. Srijith, Deepak P., Srikanta Bedathur
      Pages 153-169

    5. Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine

      • Yuhao Wu, Yuzhou Fang, Shuaikang Shang, Lai Wei, Jing Jin, Haizhou Wang
      Pages 170-182

    6. Clustering Hashtags Using Temporal Patterns

      • Borui Cai, Guangyan Huang, Shuiqiao Yang, Yong Xiang, Chi-Hung Chi
      Pages 183-195

    7. Nonnegative Residual Matrix Factorization for Community Detection

      • Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng
      Pages 196-209

  5. Graph Query

    1. Front Matter

      Pages 211-211
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Other volumes

  1. Web Information Systems Engineering – WISE 2020

  2. Web Information Systems Engineering – WISE 2020

Keywords

About this book

This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020.

The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections:

Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing

Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications

Editors and Affiliations

  • VU Amsterdam, Amsterdam, The Netherlands

    Zhisheng Huang, Wouter Beek

  • Victoria University, Melbourne, Australia

    Hua Wang, Yanchun Zhang

  • Swinburne University of Technology, Hawthorn, Australia

    Rui Zhou

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