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--- |
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title: SARS-CoV-2 Knowledge Graph |
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emoji: 🦠 |
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colorFrom: blue |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 6.1.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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# SARS-CoV-2 Extended Knowledge Graph |
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An interactive biomedical knowledge graph with quantum-inspired retrieval capabilities for exploring SARS-CoV-2 viral entities, proteins, variants, and therapies. |
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## Features |
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- **Multi-Intent Querying:** Support for Factual, Causal, Comparative, Predictive, and Exploratory queries |
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- **Quantum-Inspired Optimization:** Advanced retrieval algorithms for optimal results |
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- **Comprehensive Graph:** Virus, Protein, Receptor, Variant, and Therapy nodes with metadata |
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- **Interactive Interface:** Easy-to-use Gradio interface for exploration |
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## Source Code |
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Full implementation (Rust-based) available at: |
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https://github.com/NurcholishAdam/SARS-CoV-2-KG |
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## Usage |
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1. **Query Tab:** Search the knowledge graph with natural language queries |
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2. **Browse Tab:** Explore all nodes and edges in the graph |
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3. **Architecture Tab:** Learn about the system design |
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4. **About Tab:** Project information and documentation |
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## Architecture |
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The system consists of 5 integrated stages: |
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1. Biomedical Graph (limit-bio-sars) |
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2. Multi-Intent Harness (limit-benchmark) |
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3. Quantum-Inspired Retrieval (limit-quantum) |
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4. Open-Source Hub (limit-hub) |
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5. Comprehensive Testing |
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## License |
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MIT License - See LICENSE file for details |
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## Version |
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v2.4.1 |