The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)

The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025) focuses on knowledge discovery and graph learning, covering theories, models, applications, and challenges in various domains.

Key Topics

• Geospatial and temporal knowledge discovery and graph learning
• Ontologies and reasoning
• Interpretation, rule, and relationship discovery in graph learning
• Large language models and applications
• Graph retrieval augmented generation
• Acquisition, representation, and evolution of fragmented knowledge
• Knowledge graphs and knowledge maps
• Fragmented knowledge modeling and online learning
• Big knowledge systems and applications
• Machine learning, data mining, and statistical methods for data science and engineering
• Visualization, personalization, and recommendation of knowledge graph navigation
• Graph learning security, privacy, fairness, and trust
• Neurosymbolic & hybrid AI systems
• Knowledge graph systems and platforms, and their efficiency, scalability, and privacy
• Datasets and benchmarks for graphs
• Knowledge engineering with big data
• Applications and services of knowledge discovery and graph learning in all domains
• Topology and fusion on fragmented knowledge
• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Interaction
• Including web, medicine, education, healthcare, and business
• Open source platforms and systems supporting knowledge and graph learning
• Crowdsourcing, deep learning, and edge computing for graph mining

Who should Attend

Attendees from:

• Academia
• Industry