RRepoGEO

REPOGEO REPORT · LITE

heathersherry/Knowledge-Graph-Tutorials-and-Papers

Default branch master · commit c232436b · scanned 5/20/2026, 5:03:01 AM

GitHub: 1,043 stars · 133 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)

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

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 heathersherry/Knowledge-Graph-Tutorials-and-Papers, 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 H1 to specify it's a curated collection

    Why:

    CURRENT
    Research Topics in Knowledge Graph
    COPY-PASTE FIX
    # Knowledge Graph Tutorials and Papers: A Curated Collection
  • mediumreadme#2
    Enhance README's introductory paragraph to define audience and purpose

    Why:

    CURRENT
    Papers and Materials from All Areas
> * Note 1: The papers from the database/data science communities are marked with 🌟.
> * Note 2: From Nov 2023, I started to add papers related to LLM in each session, marked with 🔥.
    COPY-PASTE FIX
    This repository serves as a comprehensive, curated collection of insightful tutorials and research papers about Knowledge Graphs, designed for students, researchers, and practitioners seeking to understand, build, and apply KGs. It includes materials from various communities, with recent additions related to LLMs.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers

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 heathersherry/Knowledge-Graph-Tutorials-and-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Neo4j Graph Academy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Neo4j Graph Academy · recommended 1×
  2. Stanford University's CS224W: Machine Learning with Graphs · recommended 1×
  3. Ontotext GraphDB Academy · recommended 1×
  4. W3C Semantic Web Standards (RDF, OWL, SPARQL) · recommended 1×
  5. neo4j/graph-data-science · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources and tutorials for building and understanding knowledge graphs?
    you: not recommended
    AI recommended (in order):
    1. Neo4j Graph Academy
    2. Stanford University's CS224W: Machine Learning with Graphs
    3. Ontotext GraphDB Academy
    4. W3C Semantic Web Standards (RDF, OWL, SPARQL)
    5. Graph Data Science Library (GDS) Documentation (Neo4j) (neo4j/graph-data-science)
    6. Knowledge Graphs: Data in Context for Smarter Applications
    7. Google's Knowledge Graph Documentation

    AI recommended 7 alternatives but never named heathersherry/Knowledge-Graph-Tutorials-and-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best methods and papers for knowledge extraction and integration to construct KGs?
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. Hugging Face Transformers
    3. Stanford CoreNLP
    4. OpenNRE
    5. Wikidata Toolkit (WDTK)
    6. DBpedia Extraction Framework
    7. BeautifulSoup
    8. lxml
    9. Pandas
    10. BLINK
    11. Alignment API
    12. SEALS platform
    13. LogMap
    14. AgreementMakerLight (AML)
    15. PyKEEN
    16. LibKGE
    17. DGL-KE
    18. Apache Jena
    19. Protégé
    20. GraphDB (Ontotext)
    21. Neo4j

    AI recommended 21 alternatives but never named heathersherry/Knowledge-Graph-Tutorials-and-Papers. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 heathersherry/Knowledge-Graph-Tutorials-and-Papers?
    pass
    AI did not name heathersherry/Knowledge-Graph-Tutorials-and-Papers — 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 heathersherry/Knowledge-Graph-Tutorials-and-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named heathersherry/Knowledge-Graph-Tutorials-and-Papers 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 heathersherry/Knowledge-Graph-Tutorials-and-Papers solve, and who is the primary audience?
    pass
    AI did not name heathersherry/Knowledge-Graph-Tutorials-and-Papers — 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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heathersherry/Knowledge-Graph-Tutorials-and-Papers — 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