RRepoGEO

REPOGEO REPORT · LITE

PeterGriffinJin/Awesome-Language-Model-on-Graphs

Default branch main · commit ded24167 · scanned 6/13/2026, 11:18:09 AM

GitHub: 992 stars · 69 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface PeterGriffinJin/Awesome-Language-Model-on-Graphs, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize its role as *the* definitive research resource and include explicit self-mention.

    Why:

    CURRENT
    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.
    COPY-PASTE FIX
    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.
  • mediumreadme#2
    Add a 'What You'll Find Here' section to explicitly list resource types.

    Why:

    COPY-PASTE FIX
    ## 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.
  • lowreadme#3
    Add a 'Contributing' section to encourage community submissions.

    Why:

    COPY-PASTE FIX
    ## 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.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface PeterGriffinJin/Awesome-Language-Model-on-Graphs
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 1×
  2. Neo4j AuraDB · recommended 1×
  3. Neo4j GenAI Ecosystem · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to combine large language models with graph data for enhanced reasoning?
    you: not recommended
    AI recommended (in order):
    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 recommended 10 alternatives but never named PeterGriffinJin/Awesome-Language-Model-on-Graphs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find comprehensive resources and surveys on large language models applied to graphs?
    you: not recommended
    AI recommended (in order):
    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 recommended 5 alternatives but never named PeterGriffinJin/Awesome-Language-Model-on-Graphs. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of PeterGriffinJin/Awesome-Language-Model-on-Graphs?
    pass
    AI did not name PeterGriffinJin/Awesome-Language-Model-on-Graphs — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo PeterGriffinJin/Awesome-Language-Model-on-Graphs solve, and who is the primary audience?
    pass
    AI did not name PeterGriffinJin/Awesome-Language-Model-on-Graphs — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite