REPOGEO REPORT · LITE

yhLeeee/Awesome-LLMs-in-Graph-tasks

Default branch main · commit 472f1206 · scanned 6/6/2026, 3:44:01 PM

GitHub: 657 stars · 63 forks

AI VISIBILITY SCORE

17 /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

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 yhLeeee/Awesome-LLMs-in-Graph-tasks, 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 specific topics to improve categorization

Why:

COPY-PASTE FIX

llm, large-language-models, graph-neural-networks, graph-tasks, research-papers, awesome-list, survey, machine-learning, artificial-intelligence

highreadme#2

Reposition README opening to emphasize 'curated collection' and 'survey companion'

Why:

CURRENT

> This is a collection of papers on leveraging **Large Language Models** in **Graph Tasks**. It's based on our survey paper: A Survey of Graph Meets Large Language Model: Progress and Future Directions.

COPY-PASTE FIX

This repository is the official curated collection of research papers on leveraging Large Language Models in Graph Tasks, accompanying our survey paper: "A Survey of Graph Meets Large Language Model: Progress and Future Directions" (accepted by IJCAI 2024 survey track).

mediumlicense#3

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT, Apache-2.0) in the repository root to clearly state the terms of use for the collection.

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 yhLeeee/Awesome-LLMs-in-Graph-tasks

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PyTorch Geometric (PyG)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

PyTorch Geometric (PyG) · recommended 1×
Deep Graph Library (DGL) · recommended 1×
Hugging Face Transformers · recommended 1×
GraphGPT · recommended 1×
LangChain · recommended 1×

CATEGORY QUERY
What are the latest advancements in applying large language models to solve graph-related problems?
you: not recommended
AI recommended (in order):
1. PyTorch Geometric (PyG)
2. Deep Graph Library (DGL)
3. Hugging Face Transformers
4. GraphGPT
5. LangChain
6. LlamaIndex
7. Neo4j
8. Amazon Neptune
9. Neo4j AuraDB
10. OpenAI GPT-4
11. Anthropic Claude
12. T5
13. BART
14. RecBole
15. LightGCN
16. Google's Vertex AI
AI recommended 16 alternatives but never named yhLeeee/Awesome-LLMs-in-Graph-tasks. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find a curated collection of research on LLM applications in graph analysis?
you: not recommended
AI recommended (in order):
1. Awesome-LLM-Graph
2. Papers With Code
3. arXiv
4. Google Scholar
5. Towards Data Science (Medium)
6. Analytics Vidhya
7. NeurIPS
8. ICML
9. ICLR
10. KDD
AI recommended 10 alternatives but never named yhLeeee/Awesome-LLMs-in-Graph-tasks. 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 yhLeeee/Awesome-LLMs-in-Graph-tasks?
pass
AI did not name yhLeeee/Awesome-LLMs-in-Graph-tasks — 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 yhLeeee/Awesome-LLMs-in-Graph-tasks in production, what risks or prerequisites should they evaluate first?
pass
AI named yhLeeee/Awesome-LLMs-in-Graph-tasks 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 yhLeeee/Awesome-LLMs-in-Graph-tasks solve, and who is the primary audience?
pass
AI did not name yhLeeee/Awesome-LLMs-in-Graph-tasks — 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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MARKDOWN (README)

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HTML

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