Latest Research in Logic in Computer Science
18 research papers · 2026 median publication year
Top Research Topics in Logic in Computer Science
- Artificial Intelligence — 3 papers
- Computation and Language — 3 papers
- Databases — 3 papers
- Logic in Computer Science — 2 papers
- Digital Libraries — 1 papers
- Microplastics and Plastic Pollution — 1 papers
- Advanced Neural Network Applications — 1 papers
- Computational Geometry and Mesh Generation — 1 papers
- Human-Computer Interaction — 1 papers
- Geographic Information Systems Studies — 1 papers
Highest-Cited Papers
- Syntactic Simplification of OWL Class Expressions
- Identifying Implicit Premises for Logical Reconstruction of Argument Graphs
- MediaGraph: A Content-Aware Data Model and Query Framework for Multimodal Knowledge Graphs
- Large language model-assisted design of electrospun bioplastics
- Does Positional Information Causally Constrains Background Shortcut Reliance in Vision Transformer Models
- Evidence-Carrying Validation for Knowledge Graphs
- Schema-Agnostic Graph Reasoning Agent for Hybrid Knowledge Graphs
- RippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent Memory
- Property Graph Techniques in Relational Databases
- "Will This Data Break My Task?" - Interactive Synthesis of Task-Aware Data Unit Tests
- EXTRACTED METHOD: enclosure_geometry_survey — E8 Intelligence Research
- Semantic Bundling: Interactive Node and Edge Bundling to Simplify Knowledge Graphs using Large Language Models
- GEEToker: you can boost LLMs’ JavaScript-based geospatial code generation for Google Earth Engine with a model-agnostic tokenizer
- A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases
- DATA SCIENCE: BIG DATA ANALYTICS – METHODS, APPLICATIONS, AND FUTURE TRENDS
- Recovering Explanations from Transformed Rule-Based Ontologies
- From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models
- An Ontology-Guided, Deduplication-Aware Extraction Layer for Knowledge Graph Construction from Heterogeneous Documents