KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning

arXiv:2605.14907 · cs.AI · Submitted 2026-05-14 · Read on arXiv

cs.AI

Submitted: 2026-05-14

Updated: 2026-10-02

Terminology

• Foundation Model — 5× in this paper · explained in 3 episodes
• In-Context Learning — 4× in this paper · explained in 4 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems