人気の記事一覧
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
LLMをより意味的な解釈ができるエンジンで課題を解決できる、という提言（ナレッジグラフの採用）| by Anthony Alcaraz | Dec, 2023 | Towards Data Science
Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
Descriptive Knowledge Graph in Biomedical Domain
Domain Knowledge Graph Construction Via A Simple Checker
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Gena: A knowledge graph for nutrition and mental health
Comparing methods for drug–gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
Topicwise Separable Sentence Retrieval for Medical Report Generation
Leveraging Large Language Model as Simulated Patients for Clinical Education
Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
WESE: Weak Exploration to Strong Exploitation for LLM Agents
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph
Rationalism in the face of GPT hypes: Benchmarking the output of large language models against human expert-curated biomedical knowledge graphs
Phenomics Assistant: An Interface for LLM-based Biomedical Knowledge Graph Exploration
