RRepoGEO

REPOGEO REPORT · LITE

thunlp/OpenKE

Default branch OpenKE-PyTorch · commit 64c4ec81 · scanned 5/10/2026, 12:27:32 PM

GitHub: 4,041 stars · 986 forks

AI VISIBILITY SCORE
63 /100
Needs work
Category recall
1 / 2
Avg rank #3.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 thunlp/OpenKE, 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
    Clarify OpenKE's role as an ML toolkit for KGE in the README

    Why:

    CURRENT
    # OpenKE (sub-project of OpenSKL)

OpenKE is a sub-project of OpenSKL, providing an **Opensource **K**nowledge **E**mbedding toolkit for knowledge representation learning (KRL), with <a href="https://ojs.aaai.org/index.php/AAAI/article/view/9491/9350"> TransR</a> and  <a href="https://aclanthology.org/D15-1082.pdf">PTransE</a> as key features to handle complex relations and relational paths in large-scale knowledge graphs.
    COPY-PASTE FIX
    # OpenKE (sub-project of OpenSKL)

OpenKE is a sub-project of OpenSKL, providing an **Opensource **K**nowledge **E**mbedding toolkit for knowledge representation learning (KRL), with <a href="https://ojs.aaai.org/index.php/AAAI/article/view/9491/9350"> TransR</a> and  <a href="https://aclanthology.org/D15-1082.pdf">PTransE</a> as key features to handle complex relations and relational paths in large-scale knowledge graphs. This toolkit focuses on machine learning models for embeddings, not graph database management or general graph processing.
  • mediumlicense#2
    Add a LICENSE file or state the license clearly in the README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen license text, or add a clear statement about the applicable license(s) directly to the README.
  • lowhomepage#3
    Add a homepage URL in repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., project website, documentation, or the OpenSKL main page) to the 'Homepage' field in the repository settings.

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
1 / 2
50% of queries surface thunlp/OpenKE
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
pykeen/pykeen
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pykeen/pykeen · recommended 1×
  2. awslabs/dgl-ke · recommended 1×
  3. Accenture/AmpliGraph · recommended 1×
  4. pyg-team/pytorch_geometric · recommended 1×
  5. neo4j/neo4j · recommended 1×
  • CATEGORY QUERY
    What are the best PyTorch libraries for learning knowledge graph embeddings efficiently?
    you: #3
    AI recommended (in order):
    1. PyKEEN (pykeen/pykeen)
    2. DGL-KE (awslabs/dgl-ke)
    3. OpenKE (thunlp/OpenKE) ← you
    4. Ampligraph (Accenture/AmpliGraph)
    5. Torch-Geometric (pyg-team/pytorch_geometric)
    Show full AI answer
  • CATEGORY QUERY
    How to handle complex relations and paths in large-scale knowledge graphs using an open-source toolkit?
    you: not recommended
    AI recommended (in order):
    1. Neo4j Community Edition (neo4j/neo4j)
    2. Apache Jena (apache/jena)
    3. Grakn (now TypeDB Core) (vaticle/typedb)
    4. ArangoDB Community Edition (arangodb/arangodb)
    5. JanusGraph (JanusGraph/janusgraph)
    6. OrientDB Community Edition (orientechnologies/orientdb)

    AI recommended 6 alternatives but never named thunlp/OpenKE. 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 thunlp/OpenKE?
    pass
    AI named thunlp/OpenKE explicitly

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

  • If a team adopts thunlp/OpenKE in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thunlp/OpenKE 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 thunlp/OpenKE solve, and who is the primary audience?
    pass
    AI named thunlp/OpenKE explicitly

    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