README.md

🤗 Daily Papers Atlas

The atlas visualization demo of the daily papers listed in Hugging Face Daily Papers.

Features

• Interactive graph visualization of papers and authors
• Search functionality to find specific nodes
• Color coding by node attributes
• Group filtering
• Node details panel
• Responsive zoom and navigation

Project Structure

• data/ - Contains all data files and conversion scripts
  • graph.graphml - Source GraphML file
  • graph.json - Intermediate JSON format
  • sigma_graph.json - SigmaJS-compatible JSON
  • paper_atlas_data.json - Additional data
  • paper_atlas_data.json.gz - Compressed data
  • graphml_to_json.py - GraphML to JSON converter
  • json_converter.js - JSON format converter
  • check_json.py - JSON validation script
• js/ - JavaScript files
• css/ - CSS stylesheets
• config.json - Application configuration
• index.html - Main application page
• app.py - Simple web server

Setup and Running the Application

Data Conversion

If you need to convert a GraphML file to JSON:

# Convert GraphML to JSON
python data/graphml_to_json.py data/graph.graphml data/paper_atlas_data.json data/paper_atlas_data.json.gz

To convert the intermediate JSON to SigmaJS format:

# Convert to SigmaJS format
node data/json_converter.js

Running the Application

Start the local web server:

# Start the web server
python app.py

Then open your browser to http://localhost:7860

Technology Stack

• Python for server and data processing
• SigmaJS for graph visualization
• jQuery for DOM manipulation
• Pako.js for client-side decompression
• HTML/CSS for the interface

Data Format

The data is exported from Gephi in the GraphML/JSON format.

Configuration

The config.json file controls various aspects of the visualization:

• Data source path
• Node colors and sizes
• UI text and labels
• Sigma.js visualization settings

Credits

This visualization is inspired by the work described in "Charting and Navigating Hugging Face's Model Atlas".