Update README.md

README.md

@@ -10,6 +10,8 @@ We introduce **G-Retriever**, a flexible question-answering framework targeting
 **G-Retriever** integrates the strengths of Graph Neural Networks (GNNs), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), and can be fine-tuned to enhance graph understanding via soft prompting.
 <img src="figs/overview.svg">
 
+## News
+[2024.09] [PyG 2.6](https://github.com/pyg-team/pytorch_geometric/releases/tag/2.6.0) now supports **G-Retriever**! 🎉 \[[Dataset](https://pytorch-geometric.readthedocs.io/en/latest/_modules/torch_geometric/datasets/web_qsp_dataset.html)\]\[[Model](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.nn.models.GRetriever.html?highlight=gretriever)\]
 
 ## Citation
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