RRepoGEO

REPOGEO REPORT · LITE

husthuke/awesome-knowledge-graph

Default branch master · commit 219ea66c · scanned 6/26/2026, 8:42:55 AM

GitHub: 5,129 stars · 941 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
23 /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
2 / 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, graph-database, machine-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the MIT License. (e.g., copy from https://opensource.org/licenses/MIT)
  • highreadme#3
    Reposition the README's opening to clarify its nature as a curated list

    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: 知识图谱精选学习资源与系统化路径
一个精选的知识图谱（Knowledge Graph）学习资料集合，旨在为研究者、开发者和学生提供系统化的学习路径和高质量的资源。

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
Neo4j
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j · recommended 2×
  2. Knowledge Graphs: Foundations and Applications · recommended 1×
  3. The Knowledge Graph Cookbook · recommended 1×
  4. Graph Databases · recommended 1×
  5. Graph Data Science Library · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive guide to start learning about knowledge graphs?
    you: not recommended
    AI recommended (in order):
    1. Knowledge Graphs: Foundations and Applications
    2. The Knowledge Graph Cookbook
    3. Graph Databases
    4. Neo4j
    5. Graph Data Science Library
    6. Linked Data: Evolving the Web into a Global Data Space
    7. W3C
    8. RDF
    9. OWL
    10. SPARQL
    11. Stanford University
    12. Coursera

    AI recommended 12 alternatives but never named husthuke/awesome-knowledge-graph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential resources and tools for building and understanding knowledge graphs?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. RDFox
    3. TypeDB
    4. Apache Jena
    5. Stardog
    6. Protégé
    7. Gephi

    AI recommended 7 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 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?

  • 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?

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husthuke/awesome-knowledge-graph — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite