RRepoGEO

REPOGEO REPORT · LITE

jwwthu/GNN-Communication-Networks

Default branch main · commit 8c71f038 · scanned 6/7/2026, 4:53:01 PM

GitHub: 599 stars · 89 forks

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 jwwthu/GNN-Communication-Networks, 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 repository's nature in README's opening sentence

    Why:

    CURRENT
    This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
    COPY-PASTE FIX
    This repository is a curated collection and comprehensive survey of research on Graph Neural Networks (GNNs) applied to Communication Networks, serving as a resource for researchers rather than a GNN library or framework.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file to the repository root containing the text of your chosen open-source license (e.g., MIT, Apache-2.0, or GPL-3.0).
  • highhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the 'Homepage' field in the repository's 'About' section (e.g., a project website, a related publication page, or your personal academic profile).

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 jwwthu/GNN-Communication-Networks
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch Geometric (PyG)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch Geometric (PyG) · recommended 2×
  2. Deep Graph Library (DGL) · recommended 2×
  3. Spektral · recommended 2×
  4. Graph Neural Network Library (GNN-Lib) · recommended 1×
  5. StellarGraph · recommended 1×
  • CATEGORY QUERY
    How can graph neural networks improve security and routing in communication network systems?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Geometric (PyG)
    2. Deep Graph Library (DGL)
    3. Spektral
    4. Graph Neural Network Library (GNN-Lib)
    5. StellarGraph
    6. GraphSAGE
    7. Neo4j

    AI recommended 7 alternatives but never named jwwthu/GNN-Communication-Networks. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources on applying deep learning with graphs for communication network challenges.
    you: not recommended
    AI recommended (in order):
    1. DeepMind's Graph Nets library
    2. PyTorch Geometric (PyG)
    3. Deep Graph Library (DGL)
    4. Spektral
    5. Graph Neural Networks: A Review of Methods and Applications (Zhou et al., 2019)
    6. Graph Neural Networks in Action
    7. NetworkX

    AI recommended 7 alternatives but never named jwwthu/GNN-Communication-Networks. 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 jwwthu/GNN-Communication-Networks?
    pass
    AI named jwwthu/GNN-Communication-Networks explicitly

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

  • If a team adopts jwwthu/GNN-Communication-Networks in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name jwwthu/GNN-Communication-Networks — 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?

  • In one sentence, what problem does the repo jwwthu/GNN-Communication-Networks solve, and who is the primary audience?
    pass
    AI did not name jwwthu/GNN-Communication-Networks — 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

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  • Brand-free category queries5 vs 2 in Lite
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