DataArcTech/ToG

• highreadme#1

  Reposition the README's opening to clearly state the project's purpose for LLM reasoning.

  原因：

  当前

  # ToG
  The code for paper: "Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph".

  复制粘贴的修复

  复制

  # ToG: Deep and Responsible LLM Reasoning on Knowledge Graphs
  This repository provides the official code for "Think-on-Graph (ToG)", our ICLR 2024 paper, which introduces a novel framework for enhancing Large Language Model (LLM) reasoning capabilities by leveraging structured knowledge graphs to improve factuality and reduce hallucinations.

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository.

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with a suitable open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) that reflects your intended usage and contribution model.

  待办完成忽略
• mediumabout#3

  Update the repository description and add a homepage link.

  原因：

  当前

  Description: This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)
  Homepage: (none)

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  Description: Official code for Think-on-Graph (ToG), an ICLR 2024 framework that enhances Large Language Model (LLM) reasoning by integrating structured knowledge graphs for improved factuality and reduced hallucinations.
  Homepage: [Link to paper on arXiv/project page/ICLR proceedings]

  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 improve large language model reasoning capabilities using structured knowledge graphs?

  你：未被推荐
  AI 推荐顺序：

  1. Neo4j
  2. RDFox
  3. TypeDB
  4. Amazon Neptune
  5. Stardog
  6. DGL
  7. PyTorch Geometric
  8. Wikidata

  AI 推荐了 8 个替代方案，却始终没点名 DataArcTech/ToG。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking a framework for enhancing LLM factuality and reducing hallucinations with external knowledge.

  你：未被推荐
  AI 推荐顺序：

  1. LangChain
  2. LlamaIndex
  3. Haystack
  4. RAGatouille
  5. DSPy
  6. Microsoft Guidance

  AI 推荐了 6 个替代方案，却始终没点名 DataArcTech/ToG。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of DataArcTech/ToG?

  pass
  ✓AI 明确点名了 DataArcTech/ToG

  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 DataArcTech/ToG in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 DataArcTech/ToG

  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 DataArcTech/ToG solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 DataArcTech/ToG

  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？