🎯 Paperverse.co

Discover the evolution of AI/ML research through interactive citation networks

👉 Try it now at https://paperverse.co

This tool helps you visualize and explore the interconnected world of Machine Learning research papers from the past decade, allowing you to:

🔍 Discover the most influential ideas in machine learning
🏗️ Trace the stepping stones of current state-of-the-art research
📈 Identify emerging trends in scholarly circles

✨ Features

1. Interactive Citation Graphs

Explore papers in a BFS (Breadth-First Search) manner to see how ideas evolve over time. Here's the citation graph starting from the landmark "Attention is all you need" paper:

2. Paper Insights at a Glance

Hover over any paper to get quick insights without diving deep:

3. Personalized Reading Lists

Build your research roadmap by saving interesting papers for later:

4. Deep Exploration

Click on any paper to discover its most influential derivatives. Perfect for:

• Tracking idea evolution
• Finding research gaps
• Understanding paper lineage

🚀 Getting Started

1. Backend Setup (FastAPI)

Run FASTAPI backend app:

cd citation-network-backend
mkdir data
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt 

uvicorn app:app --host 0.0.0.0 --port 8000 --reload

💡 Download the demo database from here and place it in the data folder.

2. Frontend Setup (React)

Prerequisites

Ensure you have Node.js and npm installed:

node --version
npm --version

Installation Options

macOS:

brew install node

Linux (Ubuntu/Debian):

sudo apt update
sudo apt install nodejs npm

Environment Configuration

1. Create .env in citation-network-ui
2. Copy from .env.example and configure:

REACT_APP_FIREBASE_API_KEY=your_api_key_here
REACT_APP_FIREBASE_AUTH_DOMAIN=your_auth_domain_here
REACT_APP_FIREBASE_PROJECT_ID=your_project_id_here
REACT_APP_FIREBASE_STORAGE_BUCKET=your_storage_bucket_here
REACT_APP_FIREBASE_MESSAGING_SENDER_ID=your_sender_id_here
REACT_APP_FIREBASE_APP_ID=your_app_id_here
REACT_APP_FIREBASE_MEASUREMENT_ID=your_measurement_id_here

Launch Frontend

cd citation-network-ui
npm install
npm start -- --host 0.0.0.0

🛠️ Graph Building Pipeline

The build_graph directory contains tools to create citation networks through these steps:

1. Data Collection: Fetch ML papers from Arxiv (last 10 years)
2. Citation Analysis: Gather citation data from Semantic Scholar
3. Graph Generation: Create DOT files with papers as nodes and citations as edges
4. Ranking: Apply PageRank to identify influential papers
5. Database Integration: Process and store graph data for FastAPI backend