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  • Conference proceedings
  • © 2023

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13714)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2022.

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xlvii
  2. Networks and Graphs

    1. Front Matter

      Pages 1-1
    2. Algorithmic Tools for Understanding the Motif Structure of Networks

      • Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis
      Pages 3-19
    3. Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs

      • Yijun Duan, Xin Liu, Adam Jatowt, Hai-tao Yu, Steven Lynden, Kyoung-Sook Kim et al.
      Pages 20-36
    4. Summarizing Labeled Multi-graphs

      • Dimitris Berberidis, Pierre J. Liang, Leman Akoglu
      Pages 53-68
    5. Inferring Tie Strength in Temporal Networks

      • Lutz Oettershagen, Athanasios L. Konstantinidis, Giuseppe F. Italiano
      Pages 69-85
  3. Knowledge Graphs

    1. Front Matter

      Pages 105-105
    2. ProcK: Machine Learning for Knowledge-Intensive Processes

      • Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
      Pages 107-121
    3. Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network

      • Haohui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin
      Pages 122-137
    4. Multi-source Inductive Knowledge Graph Transfer

      • Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee et al.
      Pages 155-171
    5. MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts

      • Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, Yuhui Guo
      Pages 172-187
    6. RDF Knowledge Base Summarization by Inducing First-Order Horn Rules

      • Ruoyu Wang, Daniel Sun, Raymond Wong
      Pages 188-204
  4. Social Network Analysis

    1. Front Matter

      Pages 205-205
    2. A Heterogeneous Propagation Graph Model for Rumor Detection Under the Relationship Among Multiple Propagation Subtrees

      • Guoyi Li, Jingyuan Hu, Yulei Wu, Xiaodan Zhang, Wei Zhou, Honglei Lyu
      Pages 207-223
    3. DeMis: Data-Efficient Misinformation Detection Using Reinforcement Learning

      • Kornraphop Kawintiranon, Lisa Singh
      Pages 224-240

About this book

Chapters “On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment
Analysis” and “Contextualized Graph Embeddings for Adverse Drug Event Detection” are licensed under the
terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/
by/4.0/). For further details see license information in the chapter.

Editors and Affiliations

  • Grenoble Alpes University, Saint Martin d'Hères, France

    Massih-Reza Amini

  • INSA Rouen Normandy, Saint Etienne du Rouvray, France

    Stéphane Canu

  • Ruhr-Universität Bochum, Bochum, Germany

    Asja Fischer

  • KU Leuven, Leuven, Belgium

    Tias Guns

  • Central European University, Vienna, Austria

    Petra Kralj Novak

  • Aristotle University of Thessaloniki, Thessaloniki, Greece

    Grigorios Tsoumakas

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access