ICKG 2026

Call for Papers

The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier international forum for presentation of original research results in knowledge discovery and graph learning, discussion of opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences.

ICKG 2026 intends to draw researchers and application developers from a wide range of areas such as knowledge engineering, representation learning, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web etc.

Topics of Interest

• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Knowledge engineering with big data
• Knowledge graphs and knowledge maps
• Graph learning security, privacy, fairness, and trust
• Ontologies and reasoning
• Large language models and applications
• Neurosymbolic & Hybrid AI systems
• Graph Retrieval Augmented Generation
• Survey Track: Survey paper reviewing recent study in key aspects of knowledge discovery and graph learning.

Special Track Topics

• Special Track 01: KGC and Knowledge Graph Building
• Special Track 02: KR and KG Reasoning
• Special Track 03: KG and Large Language Model
• Special Track 04: GNN and Graph Learning
• Special Track 08: Industry and Applications

Submission Guidelines

Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review.

For Survey Track Papers: Please preface the descriptive paper title with “Survey:”. For example: “Survey: A Literature Review of Streaming Knowledge Graph”.

For Special Track Papers: Please preface the descriptive paper title with “SS##:”, where “##” is the two digits special track ID (e.g., SS01).

All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is single blind. Manuscripts must be submitted electronically in the online submission system. No email submission is accepted.