PeterGriffinJin/Awesome-Language-Model-on-Graphs

• highreadme#1

  Reposition README opening to emphasize its role as *the* definitive research resource and include explicit self-mention.

  原因：

  当前

  A curated list of papers and resources about large language models (LLMs) on graphs based on our survey paper: Large Language Models on Graphs: A Comprehensive Survey.

  复制粘贴的修复

  复制

  This repository, **PeterGriffinJin/Awesome-Language-Model-on-Graphs**, serves as the definitive, continuously updated curated list of papers and resources about large language models (LLMs) on graphs, directly based on our comprehensive survey paper: Large Language Models on Graphs: A Comprehensive Survey.

  待办完成忽略
• mediumreadme#2

  Add a 'What You'll Find Here' section to explicitly list resource types.

  原因：

  复制粘贴的修复

  复制

  ## What You'll Find Here
  
  This repository provides a structured and continuously updated collection of:
  *   **Key Research Papers:** Seminal and recent works on LLMs applied to graphs.
  *   **Code Implementations:** Links to open-source code for various models and techniques.
  *   **Relevant Datasets:** Resources for experimenting with LLMs on graph data.
  *   **Tutorials & Guides:** Practical guides to help you get started.
  *   **Related Surveys:** Other important surveys in the field.

  待办完成忽略
• lowreadme#3

  Add a 'Contributing' section to encourage community submissions.

  原因：

  复制粘贴的修复

  复制

  ## Contributing
  
  We welcome contributions to expand and improve this curated list! If you know of a relevant paper, code, dataset, or tutorial that should be included, please open a pull request or an issue with the details.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to combine large language models with graph data for enhanced reasoning?

  你：未被推荐
  AI 推荐顺序：

  1. Neo4j
  2. Neo4j AuraDB
  3. Neo4j GenAI Ecosystem
  4. LangChain
  5. LlamaIndex
  6. GraphRAG
  7. Amazon Neptune
  8. Amazon Bedrock
  9. Amazon SageMaker
  10. ArangoDB

  AI 推荐了 10 个替代方案，却始终没点名 PeterGriffinJin/Awesome-Language-Model-on-Graphs。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find comprehensive resources and surveys on large language models applied to graphs?

  你：未被推荐
  AI 推荐顺序：

  1. Awesome-LLM-Graph
  2. A Survey of Large Language Models for Graph: Progress and Future Directions
  3. Large Language Models on Graphs: A Survey
  4. Graph-augmented Large Language Models: A Survey
  5. Graph-based Large Language Models: A Survey

  AI 推荐了 5 个替代方案，却始终没点名 PeterGriffinJin/Awesome-Language-Model-on-Graphs。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of PeterGriffinJin/Awesome-Language-Model-on-Graphs?

  pass
  ⚠AI 未点名 PeterGriffinJin/Awesome-Language-Model-on-Graphs —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts PeterGriffinJin/Awesome-Language-Model-on-Graphs in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 PeterGriffinJin/Awesome-Language-Model-on-Graphs

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo PeterGriffinJin/Awesome-Language-Model-on-Graphs solve, and who is the primary audience?

  pass
  ⚠AI 未点名 PeterGriffinJin/Awesome-Language-Model-on-Graphs —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？