HyGRAIL: Cost-Aware and Evidence-Grounded Scientific Hypothesis Discovery over Knowledge Graphs

arXiv:2609.02056 · cs.CL · Submitted 2026-09-02 · Read on arXiv

cs.CL

Submitted: 2026-09-02

Updated: 2026-09-02

Terminology

• Knowledge Graph — 20× in this paper · explained in 7 episodes
• Verification — 15× in this paper · explained in 2 episodes
• GNNs — 10× in this paper · explained in 2 episodes
• Knowledge graphs — 9× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• F1 Score — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Heterogeneous Graph — 3× in this paper · explained in 2 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Ministral 3
• Language Models (Mostly) Know What They Know
• Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
• Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
• Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
• Large Language Models for Scientific Synthesis, Inference and Explanation
• Hypothesis Generation with Large Language Models
• Knowledge Graph-Guided Retrieval Augmented Generation
• Qwen3 Technical Report
• MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
• Graph Meets LLMs: Towards Large Graph Models

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering