GraphGen
github.com/open-sciencelab/graphgenKnowledge graph-guided synthetic data generation for LLM fine-tuning, achieving strong performance on scientific QA (GPQA-Diamond) and math reasoning (AIME)
Sourced from
- GitHub — github.com/open-sciencelab/graphgen
- Awesome AI for Science — github.com/open-sciencelab/graphgen
Related resources
Comprehensive collection of papers on unifying LLMs and knowledge graphs
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models (857+ stars, 2026)
Incremental knowledge graph construction using LLMs with entity extraction and Neo4j visualization
Principle-first scientific idea discovery framework that extracts reusable principles from public literature and private research materials, composes them into traceable Idea Cards with prior-art comparisons, and exports validation-ready research packs; emphasizes inspectable scientific objects, risk disclosure, and falsification paths (ICML 2026, 411+ stars, MIT License)
Generalized biological foundation model with unified nucleic acid and protein language, integrating DNA/RNA/protein sequences (Nature Machine Intelligence 2025)
Structure-aware prefix adaptation for integrating LLMs with knowledge graphs (ACM MM 2024)