ScholarGraph is an intelligent academic research assistant that helps you: - **Discover relevant papers** through semantic literature search - **Extract key insights** from full-text PDFs and abstracts - **Map knowledge relationships** via dynamic knowledge graphs - **Track research trends** with automated progress monitoring - **Identify gaps** in existing literature using concept analysis
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{
"name": "ScholarGraph",
"description": "An AI-powered toolkit that transforms academic literature into interactive knowledge graphs, enabling researchers to discover connections, track scholarly progress, and visualize research landscapes.",
"version": "1.0.0"
}
# ScholarGraph
ScholarGraph is an intelligent academic research assistant that helps you:
- **Discover relevant papers** through semantic literature search
- **Extract key insights** from full-text PDFs and abstracts
- **Map knowledge relationships** via dynamic knowledge graphs
- **Track research trends** with automated progress monitoring
- **Identify gaps** in existing literature using concept analysis
## Components
- `literature-search`: Finds papers across arXiv, PubMed, and Semantic Scholar
- `paper-analyzer`: Extracts claims, methods, and citations from PDFs
- `knowledge-graph`: Builds interactive networks of concepts and papers
- `progress-tracker`: Monitors new publications in your field
- `concept-learner`: Identifies emerging topics and research gaps
## Requirements
- Python 3.9+
- Node.js 18+
- API keys for Semantic Scholar/arXiv (optional but recommended)
