mlsanityData to 7 Oct 2026

A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights

arXiv 2409.12853 ↗First posted 19 Sep 2024cs.SI cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

Attention-Deficit/Hyperactivity Disorder (ADHD) is a challenging disorder to study due to its complex symptomatology and diverse contributing factors. To explore how we can gain deeper insights on this topic, we performed a network analysis on a comprehensive knowledge graph (KG) of ADHD, constructed by integrating scientific literature and clinical data with the help of cutting-edge large language models. The analysis, including k-core techniques, identified critical nodes and relationships that are central to understanding the disorder. Building on these findings, we curated a knowledge graph that is usable in a context-aware chatbot (Graph-RAG) with Large Language Models (LLMs), enabling accurate and informed interactions. Our knowledge graph not only advances the understanding of ADHD but also provides a powerful tool for research and clinical applications.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 19 Sep 2024.

Builds on

6 of 21 references.

References · 6

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
  3. 2018From Louvain to Leiden: guaranteeing well-connected communitiescited by 379
  4. 2024mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrievalcited by 233
  5. 2023KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graphcited by 22
  6. 2021Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoningcited by 7

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graphcited by 5

Similar, not cited

Close in wording, no citation either way

  1. 2025Addressing accuracy and hallucination of LLMs in Alzheimer's disease research through knowledge graphs
  2. 2025Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
  3. 2025Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine
  4. 2026Domain-Specific Knowledge Graphs in RAG-Enhanced Healthcare LLMs
  5. 2023MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
  6. 2024Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis
  7. 2026Clinical Knowledge Graph Construction and Evaluation with Multi-LLMs via Retrieval-Augmented Generation
  8. 2026DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots