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*** Second Call for Papers ***
The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)
December 12-13, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus
(*** Proceedings to be published by IEEE ***)
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 2025 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.
All accepted papers will be published in the conference proceedings by the IEEE Computer
Society. 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. The conference also features a survey track to accept survey papers reviewing recent
studies in all aspects of knowledge discovery and graph learning. At least five high quality
papers will be invited for a special issue of the Knowledge and Information Systems Journal,
in an expanded and revised form. In addition, at least eight quality papers will be invited for a
special issue of Data Intelligence Journal in an expanded and revised form with at least 30%
difference.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Knowledge engineering with big data.
• Machine learning, data mining, and statistical methods for data science and engineering.
• Acquisition, representation and evolution of fragmented knowledge.
• Fragmented knowledge modeling and online learning.
• Knowledge graphs and knowledge maps.
• Graph learning security, privacy, fairness, and trust.
• Interpretation, rule, and relationship discovery in graph learning.
• Geospatial and temporal knowledge discovery and graph learning.
• Ontologies and reasoning.
• Topology and fusion on fragmented knowledge.
• Visualization, personalization, and recommendation of Knowledge Graph navigation and
interaction.
• Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
• Applications and services of knowledge discovery and graph learning in all domains
including web, medicine, education, healthcare, and business.
• Big knowledge systems and applications.
• Crowdsourcing, deep learning and edge computing for graph mining.
• Large language models and applications
• Open source platforms and systems supporting knowledge and graph learning.
• Datasets and benchmarks for graphs
• Neurosymbolic & Hybrid AI systems
• Graph Retrieval Augmented Generation
SURVEY TRACK
Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.
In addition to the above topics, authors can also select and target the following Special Track
topics.
Each special track is handled by respective special track chairs, and the papers are also
included in the conference proceedings.
• 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 05: QA and Graph Database
• Special Track 06: KG and Multi-modal Learning.
• Special Track 07: KG and Knowledge Fusion.
• 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. All submissions will be reviewed by the Program Committee based on
technical quality, originality, significance, and clarity. For survey track paper, please preface the
descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper
entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A
Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly
bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be
removed from the camera-ready copy.
For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is
the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph
Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should
be changed as “SS01: Incremental Knowledge Graph Learning”.
All manuscripts are submitted as full papers and are reviewed based on their scientific merit.
The reviewing process is single blind, meaning that each submission should list all authors and
affiliations. There is no separate abstract submission step. There are no separate industrial,
application, or poster tracks. Manuscripts must be submitted electronically in the online
submission system. No email submission is accepted. To help ensure correct formatting, please
use the style files for U.S. Letter as template for your submission. These include LaTeX and
Word.
SUBMISSION LINK
IMPORTANT DATES
• Paper submission (abstract and full paper): July 15, 2025 (AoE)
• Notification of acceptance/rejection: September 15, 2025
• Camera-ready deadline and copyright forms: October 15, 2025
• Early Registration Deadline: Oct. 29, 2025
• Conference: December 12-13, 2025
ORGANISATION
Conference and Local Organising Chair
• George A. Papadopoulos, University of Cyprus
Conference Co-Chair
• Dan Guo, Hefei University of Technology
Program Chairs
• Cesare Alippi, Università della Svizzera italiana
• Shirui Pan, Griffith University
Local Organising Vice Chair
• Irene Kinlanioti, National Technical University of Athens
Finance Chair
• Constantinos Pattichis, University of Cyprus
Steering Committee Chair
• Xindong Wu, Hefei University Of Technology
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March 14th, 2025 
Daniela Lopez de Luise 
