Seaual/meta-knowledge-graph
LLM-powered Academic Knowledge Graph Engine - Extract hierarchical concepts from PDF papers with interactive visualization
This tool helps researchers, academics, and students quickly understand and navigate the core concepts within academic papers. You upload PDF research papers, and it automatically extracts key ideas, identifies their hierarchy, and presents them in an interactive, visual knowledge graph. The output helps you see connections between concepts and discover potential research points, making literature review and topic exploration much more efficient.
Use this if you need to quickly grasp the key concepts, hierarchical structure, and potential research directions from a collection of academic PDF papers.
Not ideal if you primarily need to perform in-depth qualitative analysis of paper content or extract highly specific data points beyond core concepts and their relationships.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Seaual/meta-knowledge-graph"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
snap-stanford/stark
(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
cefriel/competence-kg
A tutorial on Knowledge Graphs discussing how to model the employee competences within a company
TIGER-AI-Lab/KB-BINDER
"Few-shot In-context Learning for Knowledge Base Question Answering" [ACL2023]
HKUST-KnowComp/FolkScope
Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph...
pat-jj/KARE
[ICLR'25] Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval