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. The conference covers all aspects of knowledge discovery from data, with a strong focus on graph learning and knowledge graph, including algorithms, software, platforms.

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. By promoting novel, high quality research findings, and innovative solutions to address challenges in handling all aspects of learning from data with dependency relationship.

Publication
All accepted papers will be published in the conference proceedings by the IEEE Computer Society.

Awards
Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student Paper Runner up, will be conferred at the conference, with a check and a certificate for each award.

Important Dates (All deadlines are AOE)
- Paper Submission: Jun 19, 2026
- Notification: Aug 31, 2026
- Camera-Ready: Sep 18, 2026
- Conference: Nov 12-13, 2026

Tracks
The conference also features a survey track to accept survey papers reviewing recent studies in all aspects of knowledge discovery and graph learning.

Organizing Committee
- General Co-Chairs: Shirui Pan (Griffith University, Australia); Steffen Staab (University of Stuttgart, Germany)
- Program Co-Chairs: Chuan Shi (Beijing University of Posts and Telecommunications, China); Xiaoli Li (Singapore University of Technology and Design, Singapore)
- Finance Chair: Rocky Chen (The University of Queensland,Australia)
- Local Arrangements Chair: Mingquan Ye (Wannan Medical College, China)
- Steering Committee Chair: Xindong Wu (Hefei University of Technology, China)