REPOGEO REPORT · LITE
zjukg/KG-LLM-Papers
Default branch main · commit c1b0f1e9 · scanned 5/14/2026, 6:43:20 PM
GitHub: 2,186 stars · 156 forks
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 zjukg/KG-LLM-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.
- highreadme#1Clarify the README's opening statement to emphasize its nature as a curated list
Why:
CURRENT>What can LLMs do for KGs? Or, in other words, what role can KG play in the era of LLMs? 🙌 This repository collects papers integrating **knowledge graphs (KGs)** and **large language models (LLMs)**.
COPY-PASTE FIXThis repository is a **curated and regularly updated list of research papers** integrating **knowledge graphs (KGs)** and **large language models (LLMs)**. It aims to provide a comprehensive resource for researchers and practitioners exploring the intersection of these fields.
- highhomepage#2Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIXhttps://github.com/zjukg/KG-LLM-Papers
- mediumtopics#3Add more specific topics to clarify the repo's function as a research resource
Why:
CURRENTawesome, awesome-kg, awesome-llm, awsome-list, commonsense, gpt, knowledge, knowledge-graph, language-models, large-language-models, llm, nlp, paper-list, prompt, survey
COPY-PASTE FIXawesome, awesome-kg, awesome-llm, awsome-list, commonsense, gpt, knowledge, knowledge-graph, language-models, large-language-models, llm, nlp, paper-list, prompt, survey, research-papers, literature-review, academic-resource, scientific-literature
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.
- arXiv · recommended 1×
- Google Scholar · recommended 1×
- ACL Anthology · recommended 1×
- EMNLP · recommended 1×
- NAACL · recommended 1×
- CATEGORY QUERYWhere can I find research papers exploring the integration of knowledge graphs and large language models?you: not recommendedAI recommended (in order):
- arXiv
- Google Scholar
- ACL Anthology
- EMNLP
- NAACL
- CoNLL
- Semantic Scholar
- DBLP Computer Science Bibliography
- Microsoft Academic
- NeurIPS
- ICML
- ICLR
- KDD
- WWW
AI recommended 14 alternatives but never named zjukg/KG-LLM-Papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the recent advancements in leveraging structured knowledge for improving language model performance?you: not recommendedAI recommended (in order):
- K-BERT
- ERNIE
- LUKE
- RAG
- QA-GNN
- Logic-LM / PAL
AI recommended 6 alternatives but never named zjukg/KG-LLM-Papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 zjukg/KG-LLM-Papers?passAI did not name zjukg/KG-LLM-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 zjukg/KG-LLM-Papers in production, what risks or prerequisites should they evaluate first?passAI named zjukg/KG-LLM-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 zjukg/KG-LLM-Papers solve, and who is the primary audience?passAI named zjukg/KG-LLM-Papers explicitly
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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zjukg/KG-LLM-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