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Web and Big Data

5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23–25, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Leong Hou U

    1. University of Macau, Macau, China

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  2. Marc Spaniol

    1. University of Caen Normandie, Caen, France

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  3. Yasushi Sakurai

    1. Osaka University, Osaka, Japan

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  4. Junying Chen

    1. South China University of Technology, Guangzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12858)

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: APWeb-WAIM 2021.

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About this book

This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021.

The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.

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Table of contents (39 papers)

  1. Front Matter

    Pages i-xxvi
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  2. Graph Mining

    1. Front Matter

      Pages 1-1
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    2. Co-authorship Prediction Based on Temporal Graph Attention

      • Dongdong Jin, Peng Cheng, Xuemin Lin, Lei Chen
      Pages 3-19

    3. Degree-Specific Topology Learning for Graph Convolutional Network

      • Jiahou Cheng, Mengqing Luo, Xin Li, Hui Yan
      Pages 20-34

    4. Simplifying Graph Convolutional Networks as Matrix Factorization

      • Qiang Liu, Haoli Zhang, Zhaocheng Liu
      Pages 35-43

    5. GRASP: Graph Alignment Through Spectral Signatures

      • Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex Bronstein, Davide Mottin, Panagiotis Karras
      Pages 44-52

    6. FANE: A Fusion-Based Attributed Network Embedding Framework

      • Guanghua Li, Qiyan Li, Jingqiao Liu, Yuanyuan Zhu, Ming Zhong
      Pages 53-60

  3. Data Mining

    1. Front Matter

      Pages 61-61
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    2. What Have We Learned from OpenReview?

      • Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang
      Pages 63-79

    3. Unsafe Driving Behavior Prediction for Electric Vehicles

      • Jiaxiang Huang, Hao Lin, Junjie Yao
      Pages 80-93

    4. Resource Trading with Hierarchical Game for Computing-Power Network Market

      • Qingzhong Bao, Xiaoxu Ren, Chunfeng Liu, Xin Wang, Xiaofei Wang, Chao Qiu
      Pages 94-109

    5. Analyze and Evaluate Database-Backed Web Applications with WTool

      • Zhou Zhou, XuJia Yao
      Pages 110-124

    6. Semi-supervised Variational Multi-view Anomaly Detection

      • Shaoshen Wang, Ling Chen, Farookh Hussain, Chengqi Zhang
      Pages 125-133

    7. A Graph Attention Network Model for GMV Forecast on Online Shopping Festival

      • Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu et al.
      Pages 134-139

    8. Suicide Ideation Detection on Social Media During COVID-19 via Adversarial and Multi-task Learning

      • Jun Li, Zhihan Yan, Zehang Lin, Xingyun Liu, Hong Va Leong, Nancy Xiaonan Yu et al.
      Pages 140-145

  4. Data Management

    1. Front Matter

      Pages 147-147
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    2. An Efficient Bucket Logging for Persistent Memory

      • Xiyan Xu, Jiwu Shu
      Pages 149-163

    3. Data Poisoning Attacks on Crowdsourcing Learning

      • Pengpeng Chen, Hailong Sun, Zhijun Chen
      Pages 164-179

    4. Dynamic Environment Simulation for Database Performance Evaluation

      • Chunxi Zhang, Rong Zhang, Qian Su, Aoying Zhou
      Pages 180-189

    5. LinKV: An RDMA-Enabled KVS for High Performance and Strict Consistency Under Skew

      • Xing Wei, Huiqi Hu, Xuan Zhou, Aoying Zhou
      Pages 190-198
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Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data. APWeb-WAIM 2021 International Workshops

Editors and Affiliations

  • University of Macau, Macau, China

    Leong Hou U

  • University of Caen Normandie, Caen, France

    Marc Spaniol

  • Osaka University, Osaka, Japan

    Yasushi Sakurai

  • South China University of Technology, Guangzhou, China

    Junying Chen

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