Research map / Graph learning / Knowledge and temporal graphs
Automated Rule Base Completion as Bayesian Concept Induction
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Inductive Reasoning about Ontologies Using Conceptual Spaces (AAAI 2017 · similarity 0.89)
- Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning (ICLR 2023 · similarity 0.86)
- BoxE: A Box Embedding Model for Knowledge Base Completion (NeurIPS 2020 · similarity 0.86)
- Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning (AAAI 2025 · similarity 0.83)
- RuAG: Learned-rule-augmented Generation for Large Language Models (ICLR 2025 · similarity 0.83)
- LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs (AAAI 2025 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
