Call for Full Papers

The theme of this conference is “Knowledge Graphs and Large Language Models”, which aims to explore the intersection of these two cutting-edge fields and innovative opportunities for their integration, explore the role and application of knowledge graphs in cross-platform, cross-field and other AI tasks, and study knowledge representation, knowledge organization and storage, knowledge mining, knowledge fusion, automated reasoning and other key technologies of knowledge graph development in the context of Artificial General Intelligence, guide the transformation of knowledge graph related technologies, and lay the foundations for the ultimate realization of Artificial General Intelligence. The conference program will include workshops, keynotes, a frontiers and trends forum, industry forum, young scholars forum, evaluations and competitions, paper presentations, posters and demos. We invite scholars from academia to introduce the latest developments in related fields and development trends, and R&D experts in industry to share practical experience, and promote industry-university-research cooperation.

In addition to research papers and application papers, IJCKG 2025 will continue to set the theme of knowledge graph open resources, aiming to support and promote data resource sharing in academia and industry. Resources include but are not limited to: knowledge graphs/ontologies, datasets/evaluation sets, software tools/services/APIs/frameworks, protocols/standard specifications, etc. We encourage publishing resources in the Open Knowledge Graph community (OpenKG). Reviewers will comprehensively evaluate the quality of resources and papers along the dimensions of resource quality and potential influence, reusability (such as documentation), and availability (such as URLs and open source agreements), and OpenKG will review the selected open resources to carry out publicity and promotion.

The conference invites scholars and R&D experts in related fields to submit papers with unpublished results. Submissions should not exceed a 16-page PDF. The above limit includes all content such as references and appendices. Research and application papers adopt a single-blind review process. The manuscript template is as follows:
Submission Template: Springer 15 pages.
Accepted papers will be included in the collection of papers published in formal proceedings (the publisher will be announced soon), and excellent English papers will be recommended to relevant journals after expansion. The journal will conduct a second review of the recommended papers and decide whether to publish them

Topics of interest include, but are not limited to:

  • Knowledge Graph Enhanced Large Language Models (KG4LLM and LLM4KG): Knowledge Graph Enhanced Training, Knowledge Graph Enhanced Reasoning, Knowledge Graph Enhanced Interpretability
  • Knowledge Representation and Reasoning: Ontology Modeling and Evolution, Knowledge Representation Learning, Knowledge Base Completion
  • Knowledge Graph Construction and Knowledge Integration: Entity/Event Extraction, Complex Knowledge (Events, Rules, Processes) Acquisition, Multi-Modal Knowledge Graph Construction, Ontology Matching and Entity Alignment
  • Graph Database and Knowledge Management: Architecture Design of Graph Databases, Graph Query Languages, Graph Database Indexing Technologies, and the Application of Graph Database in Knowledge Management
  • Machine Learning on Graphs: Design and Applications of Graph Machine Learning Models, and Research on Representation Learning, Graph Classification, Graph Clustering, and Graph Generation of Graph Data
  • Knowledge Retrieval and Information Retrieval: Knowledge Graph based Information Retrieval, Graph Structured Data based Information Retrieval, Cross-Modal Information Retrieval, and Knowledge Graph Inference in Information Retrieval
  • Knowledge Graph and Large Language Model Applications: Semantic Search, Question Answering and Dialogue, Recommendation System and Decision Support, Industrial/Government Applications
  • Knowledge Graph Open Resources: Domain Knowledge Graph, Evaluation Methods and Datasets, Knowledge Graph Visualization Tools

Important Dates:

  • Full Paper Submissions: June 15, 2025 (11:59 PM AoE)
  • Acceptance Notifications: July 15, 2025 (11:59 PM AoE)
  • Camera Ready Submissions: August 1, 2025 (11:59 PM AoE)
  • Conference Date: October 15-17, 2025

Organization:
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