RRepoGEO

REPOGEO REPORT · LITE

thunlp/OpenKE

Default branch OpenKE-PyTorch · commit 64c4ec81 · scanned 6/20/2026, 11:07:51 AM

GitHub: 4,042 stars · 984 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
66 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 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
  • hightopics#1
    Expand repository topics to include key features and technologies

    Why:

    CURRENT
    knowledge-embedding
    COPY-PASTE FIX
    knowledge-embedding, knowledge-graphs, pytorch, gpu, deep-learning, knowledge-representation, machine-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root to clearly state the terms of use for OpenKE.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, documentation, or the main OpenSKL project page) to the repository's 'About' section.

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
#2.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
Ampligraph
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ampligraph · recommended 2×
  2. PyKEEN · recommended 1×
  3. DGL-KE · recommended 1×
  4. LibKGE · recommended 1×
  5. GraKE · recommended 1×
  • CATEGORY QUERY
    What are the best tools for learning knowledge graph embeddings with complex relations?
    you: #2
    AI recommended (in order):
    1. PyKEEN
    2. OpenKE ← you
    3. DGL-KE
    4. Ampligraph
    5. LibKGE
    6. GraKE
    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python library for large-scale knowledge representation learning on GPUs.
    you: not recommended
    AI recommended (in order):
    1. PyTorch-BigGraph (PBG)
    2. DeepKE
    3. DGL (Deep Graph Library)
    4. Spektral
    5. Ampligraph

    AI recommended 5 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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thunlp/OpenKE — 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
thunlp/OpenKE — RepoGEO report