The 2027 International Conference on the Intersection of Knowledge, Learning, and Reasoning (KLR 2027) provides a dedicated forum for researchers, practitioners, and industry experts to present their latest research and development at the methodological intersection of knowledge representation, machine learning, and automated reasoning. KLR 2027 will be held on February 26–28, 2027, in Zhengzhou, China. We cordially invite you to submit original, high-quality papers to the following tracks.
Topics of interest:
Knowledge representation and reasoning
Logic and automated deduction
Knowledge graphs and applications
Constraint satisfaction and search
Uncertainty in reasoning
Web- and knowledge-based information systems
Ontology engineering
Query answering over knowledge bases
Topics of interest:
Deep learning and representation learning
Machine learning and data mining
Graph theory, graph mining, and graph neural networks
Image processing and analysis
Self-supervised and transfer learning
Knowledge discovery from structured and unstructured data
Evaluation and robustness of learned representations
Topics of interest:
Knowledge-enhanced natural language processing
Multi-agent systems and agent-based knowledge sharing
Language agents and tool use
Knowledge graphs in language understanding
Dialogue and conversational knowledge access
Agent communication and coordination
Knowledge-grounded generation
Topics of interest:
Brain-inspired and neuromorphic learning
Implicit cognition and implicit learning
Uncertainty quantification and probabilistic reasoning
Cognitive modeling and computational neuroscience
Neuro-symbolic integration
Human-like learning and generalization
Reasoning under incomplete or noisy knowledge
For any questions, please contact the conference secretariat at contact_klr@163.com.