Call for Papers

We are looking for novel algorithms, theories, and applications related to knowledge graph learning. Each submitted paper will be evaluated by three reviewers from the aspects of novelty, significance, technique sound, experiments, and presentations. The reviewers will be program committee members or researchers recommended by the members. Authors are invited to submit original papers, which have not been published elsewhere and which are not currently under consideration for another journal, conference or workshop.
All papers submitted should have a maximum length of 8 pages (+ 2 pages for references and appendix) and demo papers should be no more than 4 pages (+ 2 pages for references and appendix). Authors are required to submit their papers electronically in PDF format. Authors' names should be included in the manuscripts. All must be prepared using the IEEE 2-column format to prepare your manuscript.
All accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press.

Topics

We are interested in (including but not limited to) topics as follows.
  • ChatGPT-enhanced KG construction/completion. ChatGPT may be used to identify triples from corpora, or predict the links between entities in a KG

  • ChatGPT-enhanced KG error detection / quality evaluation

  • Efficient graph neural networks tailored for KG embedding

  • Efficient contrastive learning models tailored for KG refinement, including KG completion and KG error detection

  • ChatGPT-enhanced KG embedding

  • Integration of ChatGPT and KGs towards accurate virtual assistant systems

  • KG-based recommender systems

  • Theoretical analysis of and insights into KG reasoning

  • Effective KG construction algorithms dedicated to specific scenarios

  • Algorithms that bridge the gap between KG embedding and applications in various domains, such as recommendations, education, sports, and transportation

  • Important Dates

    All deadlines are 11:59 PM Beijing Time

    Workshop paper submissions: September 23, 2023
    Workshop paper notifications: September 24, 2023

    Camera-ready deadline and copyright form: October 1, 2023

    Workshop date: December 1, 2023