RRepoGEO

REPOGEO REPORT · LITE

husthuke/awesome-knowledge-graph

Default branch master · commit 219ea66c · scanned 5/15/2026, 3:58:09 PM

GitHub: 5,114 stars · 945 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 husthuke/awesome-knowledge-graph, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    knowledge-graph, awesome-list, learning-resources, nlp, artificial-intelligence, data-science
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.
  • mediumreadme#3
    Clarify the README's opening sentence to emphasize its 'awesome list' nature

    Why:

    CURRENT
    # awesome-knowledge-graph
整理知识图谱相关学习资料，提供系统化的知识图谱学习路径。
    COPY-PASTE FIX
    # awesome-knowledge-graph
一个精选的知识图谱学习资源列表，提供系统化的学习路径和最新资料。

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 husthuke/awesome-knowledge-graph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Knowledge Graphs: Foundations and Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Knowledge Graphs: Foundations and Applications · recommended 1×
  2. Graph Databases · recommended 1×
  3. Stanford University's CS520: Knowledge Graphs Course Materials · recommended 1×
  4. W3C Semantic Web Standards · recommended 1×
  5. Neo4j Graph Academy · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to learn about knowledge graph concepts and applications?
    you: not recommended
    AI recommended (in order):
    1. Knowledge Graphs: Foundations and Applications
    2. Graph Databases
    3. Stanford University's CS520: Knowledge Graphs Course Materials
    4. W3C Semantic Web Standards
    5. Neo4j Graph Academy
    6. The Semantic Web: An Introduction
    7. Google's Knowledge Graph Documentation and Blog Posts

    AI recommended 7 alternatives but never named husthuke/awesome-knowledge-graph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best techniques and tools for constructing a knowledge graph effectively?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. Amazon Neptune
    3. Grakn (now Vaticle's TypeDB)
    4. Apache Jena
    5. GraphDB (Ontotext)
    6. spaCy
    7. NLTK
    8. Beautiful Soup
    9. Pandas
    10. rdflib
    11. OpenRefine
    12. PyTorch Geometric
    13. DGL (Deep Graph Library)
    14. Neo4j Browser
    15. Bloom
    16. Gephi
    17. Protégé

    AI recommended 17 alternatives but never named husthuke/awesome-knowledge-graph. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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 husthuke/awesome-knowledge-graph?
    pass
    AI did not name husthuke/awesome-knowledge-graph — 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 husthuke/awesome-knowledge-graph in production, what risks or prerequisites should they evaluate first?
    pass
    AI named husthuke/awesome-knowledge-graph 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 husthuke/awesome-knowledge-graph solve, and who is the primary audience?
    pass
    AI did not name husthuke/awesome-knowledge-graph — 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?

Embed your GEO score

Drop this badge into the README of husthuke/awesome-knowledge-graph. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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