Update README.md

README.md

@@ -189,8 +189,10 @@ Large Language Models (LLMs) have shown remarkable progress in natural language
 - (*arxiv 2024.04*) From Local to Global: A Graph RAG Approach to Query-Focused Summarization [[paper](https://arxiv.org/abs/2404.16130)]
 - (*arXiv 2024.05*) Don't Forget to Connect! Improving RAG with Graph-based Reranking [[paper](https://arxiv.org/abs/2405.18414)]
 - (*arXiv 2024.06*) GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning [[paper](https://arxiv.org/abs/2405.20139)][[code](https://github.com/cmavro/GNN-RAG)]![GitHub Repo stars](https://img.shields.io/github/stars/cmavro/GNN-RAG?style=social)
+- (*arXiv 2024.08*) Graph Retrieval-Augmented Generation: A Survey [[paper](https://arxiv.org/abs/2408.08921)][[code](https://github.com/pengboci/GraphRAG-Survey)]![GitHub Repo stars](https://img.shields.io/github/stars/pengboci/GraphRAG-Survey?style=social)
 - (*arXiv 2024.10*) Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs [[paper](https://arxiv.org/abs/2410.11001)] [[code](https://github.com/ulab-uiuc/GoR)]![GitHub Repo stars](https://img.shields.io/github/stars/ulab-uiuc/GoR?style=social)
 - (*arXiv 2025.01*) Retrieval-Augmented Generation with Graphs (GraphRAG) [[paper](https://arxiv.org/pdf/2501.00309)][[code](https://github.com/Graph-RAG/GraphRAG/)]![GitHub Repo stars](https://img.shields.io/github/stars/Graph-RAG/GraphRAG?style=social)
+- (*arXiv 2025.01*) A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models [[paper](https://arxiv.org/abs/2501.13958)][[code](https://github.com/DEEP-PolyU/Awesome-GraphRAG)]![GitHub Repo stars](https://img.shields.io/github/stars/DEEP-PolyU/Awesome-GraphRAG?style=social)
 - (*arXiv 2025.02*) GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation [[paper](https://arxiv.org/abs/2502.01113)] [[code](https://github.com/RManLuo/gfm-rag)]![GitHub Repo stars](https://img.shields.io/github/stars/RManLuo/gfm-rag?style=social)
 - (*arXiv 2025.02*) Are Large Language Models In-Context Graph Learners? [[paper](https://arxiv.org/pdf/2502.13562)]
 - (*arXiv 2025.02*) ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation [[paper](https://arxiv.org/abs/2502.09891)]
@@ -199,6 +201,7 @@ Large Language Models (LLMs) have shown remarkable progress in natural language
 - (*arXiv 2025.03*) In-depth Analysis of Graph-based RAG in a Unified Framework [[paper](https://www.arxiv.org/abs/2503.04338)][[code](https://github.com/JayLZhou/GraphRAG)]![GitHub Repo stars](https://img.shields.io/github/stars/JayLZhou/GraphRAG?style=social)
 
 
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 ### Planning
 - (*NeurIPS'24*) Can Graph Learning Improve Planning in LLM-based Agents? [[paper](https://arxiv.org/abs/2405.19119)][[code](https://github.com/WxxShirley/GNN4TaskPlan)]![GitHub Repo stars](https://img.shields.io/github/stars/WxxShirley/GNN4TaskPlan?style=social)
 - (*ICML'24*) Graph-enhanced Large Language Models in Asynchronous Plan Reasoning [[paper](https://arxiv.org/abs/2402.02805)][[code](https://github.com/fangru-lin/graph-llm-asynchow-plan)]![GitHub Repo stars](https://img.shields.io/github/stars/fangru-lin/graph-llm-asynchow-plan?style=social)