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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>*** First Call for Papers ***</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>December 12-13, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b><a href="https://cyprusconferences.org/ickg2025/">https://cyprusconferences.org/ickg2025/</a></b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 18px; color: #000000;"><b>(*** Proceedings to be published by IEEE ***)</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">international forum for presentation of original research results in knowledge discovery and</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">graph learning, discussion of opportunities and challenges, as well as exchange and
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">dissemination of innovative, practical development experiences. The conference covers all</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">aspects of knowledge discovery from data, with a strong focus on graph learning and</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">researchers and application developers from a wide range of areas such as knowledge
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">engineering, representation learning, big data analytics, statistics, machine learning, pattern
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">recognition, data mining, knowledge visualization, high performance computing, and World</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">address challenges in handling all aspects of learning from data with dependency relationship.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">All accepted papers will be published in the conference proceedings by the IEEE Computer</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Paper Runner up, will be conferred at the conference, with a check and a certificate for each</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">award. The conference also features a survey track to accept survey papers reviewing recent</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">studies in all aspects of knowledge discovery and graph learning. At least five high quality
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">papers will be invited for a special issue of the
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Knowledge and Information Systems Journal</b></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">,</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">in an expanded and revised form. In addition, at least eight quality papers will be invited for a</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">special issue of
</span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>Data Intelligence Journal</b></span><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"> in an expanded and revised
form with at least 30%</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">difference.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>TOPICS OF INTEREST</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Topics of interest include, but are not limited to:</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Knowledge engineering with big data.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Machine learning, data mining, and statistical methods for data science and engineering.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Acquisition, representation and evolution of fragmented knowledge.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Fragmented knowledge modeling and online learning.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Knowledge graphs and knowledge maps.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Graph learning security, privacy, fairness, and trust.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Interpretation, rule, and relationship discovery in graph learning.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Geospatial and temporal knowledge discovery and graph learning.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Ontologies and reasoning.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Topology and fusion on fragmented knowledge.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Visualization, personalization, and recommendation of Knowledge Graph navigation and</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">interaction.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Applications and services of knowledge discovery and graph learning in all domains</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">including web, medicine, education, healthcare, and business.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Big knowledge systems and applications.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Crowdsourcing, deep learning and edge computing for graph mining.
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Large language models and applications
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Open source platforms and systems supporting knowledge and graph learning.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Datasets and benchmarks for graphs</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Neurosymbolic & Hybrid AI systems</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Graph Retrieval Augmented Generation</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>SURVEY TRACK</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">In addition to the above topics, authors can also select and target the following Special Track
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">topics.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Each special track is handled by respective special track chairs, and the papers are also</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">included in the conference proceedings.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 01: KGC and Knowledge Graph Building</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 02: KR and KG Reasoning.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 03: KG and Large Language Model</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 04: GNN and Graph Learning
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 05: QA and Graph Database</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 06: KG and Multi-modal Learning.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 07: KG and Knowledge Fusion.
</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Special Track 08: Industry and Applications
</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>SUBMISSION GUIDELINES</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">the bibliography and any possible appendices. Submissions longer than 8 pages will be</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">rejected without review. All submissions will be reviewed by the Program Committee based on</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">technical quality, originality, significance, and clarity. For survey track paper, please preface the</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">removed from the camera-ready copy.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">be changed as “SS01: Incremental Knowledge Graph Learning”.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">All manuscripts are submitted as full papers and are reviewed based on their scientific merit.</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">The reviewing process is single blind, meaning that each submission should list all authors and</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">affiliations. There is no separate abstract submission step. There are no separate industrial,</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">application, or poster tracks. Manuscripts must be submitted electronically in the online</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">submission system. No email submission is accepted. To help ensure correct formatting, please</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">use the style files for U.S. Letter as template for your submission. These include LaTeX and</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">Word.</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>SUBMISSION LINK</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><a href="https://wi-lab.com/cyberchair/2025/ickg25/">https://wi-lab.com/cyberchair/2025/ickg25/</a></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>IMPORTANT DATES</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Paper submission (abstract and full paper): July 15, 2025 (AoE)</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Notification of acceptance/rejection: September 15, 2025</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Camera-ready deadline and copyright forms: October 15, 2025</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Early Registration Deadline: Oct. 29, 2025</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Conference: December 12-13, 2025</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><b>ORGANISATION</b></span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>Conference and Local Organising Chair</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• George A. Papadopoulos, University of Cyprus</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>Conference Co-Chair</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Dan Guo, Hefei University of Technology</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>Program Chairs</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Cesare Alippi, Università della Svizzera italiana</span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Shirui Pan, Griffith University</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>Local Organising Vice Chair</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Irene Kinlanioti, National Technical University of Athens</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>Finance Chair</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Constantinos Pattichis, University of Cyprus</span></div>
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<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;"><u>Steering Committee Chair</u></span></div>
<div style="text-align: left"><span style="font-family: Lucida Grande, Arial, Helvetica; font-size: 16px; color: #000000;">• Xindong Wu, Hefei University Of Technology</span></div>
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