Update README.md

README.md

@@ -62,7 +62,7 @@ Large Language Models (LLMs) have shown remarkable progress in natural language
 - (*arXiv 2023.10*) GraphGPT: Graph Instruction Tuning for Large Language Models [[paper](https://arxiv.org/abs/2310.13023)][[code](https://github.com/HKUDS/GraphGPT)][[blog in Chinese](https://mp.weixin.qq.com/s/rvKTFdCk719Q6hT09Caglw)]
 - (*arXiv 2023.10*) Graph Agent: Explicit Reasoning Agent for Graphs [[paper](https://arxiv.org/abs/2310.16421)]
 - (*arXiv 2024.02*) Let Your Graph Do the Talking: Encoding Structured Data for LLMs [[paper](https://arxiv.org/abs/2402.05862)]
-- (*arXiv 2024.02*) G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering [[paper](https://arxiv.org/abs/2402.07630)][[code](https://github.com/XiaoxinHe/G-Retriever)][[blog](https://medium.com/@xxhe/graph-retrieval-augmented-generation-rag-beb19dc30424)]
+- (*NeurIPS'24*) G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering [[paper](https://arxiv.org/abs/2402.07630)][[code](https://github.com/XiaoxinHe/G-Retriever)][[blog](https://medium.com/@xxhe/graph-retrieval-augmented-generation-rag-beb19dc30424)]
 - (*arXiv 2024.02*) InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment [[paper](https://arxiv.org/abs/2402.08785)][[code](https://github.com/wjn1996/InstructGraph)]
 - (*arXiv 2024.02*) LLaGA: Large Language and Graph Assistant [[paper](https://arxiv.org/abs/2402.08170)][[code](https://github.com/VITA-Group/LLaGA)]
 - (*arXiv 2024.02*) HiGPT: Heterogeneous Graph Language Model [[paper](https://arxiv.org/abs/2402.16024)][[code](https://github.com/HKUDS/HiGPT)]