Awesome-LLM-KG
github.com/rmanluo/awesome-llm-kgComprehensive collection of papers on unifying LLMs and knowledge graphs
Sourced from
- Awesome AI for Science — github.com/rmanluo/awesome-llm-kg
- GitHub — github.com/rmanluo/awesome-llm-kg
Related resources
Conversational data analysis using natural language
Knowledge graph-guided synthetic data generation for LLM fine-tuning, achieving strong performance on scientific QA (GPQA-Diamond) and math reasoning (AIME)
Pretrained time series foundation model for zero-shot forecasting across diverse scientific and real-world domains; tokenizes continuous time series into discrete bins to train transformer language models on large-scale corpora, achieving strong zero-shot generalization and competitive performance with task-specific supervised models on climate, energy, and health benchmarks (5.3K+ stars, Apache 2.0, 2024-2026)
Multi-PDF conversation, retrieval, and citation in Zotero with commercial/local models (Ollama), MCP support
Offline-first scientific writing workspace powered by Claude, integrating LaTeX, Python, and 100+ scientific skills with local execution, Zotero integration, and privacy-focused design (2026)
LLM-driven machine learning engineering agent using agentic tree search to autonomously draft, debug and benchmark ML code; wins 4× more medals than the best linear agent on OpenAI's MLE-Bench (75 Kaggle competitions) (1.3K+ stars, MIT License)