Update README.md

README.md

@@ -70,13 +70,13 @@ Large Language Models (LLMs) have shown remarkable progress in natural language
 - (*arXiv 2023.04*) Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT [[paper](https://arxiv.org/abs/2304.11116)][[code](https://github.com/jwzhanggy/Graph_Toolformer)]
 - (*arXiv 2023.10*) GraphText: Graph Reasoning in Text Space [[paper](https://arxiv.org/abs/2310.01089)]
 - (*arXiv 2023.10*) GraphLLM: Boosting Graph Reasoning Ability of Large Language Model [[paper](https://arxiv.org/abs/2310.05845)][[code](https://github.com/mistyreed63849/Graph-LLM)]
-- (*arXiv 2024.02*) Can GNN be Good Adapter for LLMs? [[paper](https://arxiv.org/html/2402.12984v1)]
 
 
 
 ### Node Classification
 - (*ICLR'24*) Explanations as Features: LLM-Based Features for Text-Attributed Graphs [[paper](https://arxiv.org/abs/2305.19523)][[code](https://github.com/XiaoxinHe/TAPE)]
 - (*ICLR'24*) Label-free Node Classification on Graphs with Large Language Models (LLMS) [[paper](https://arxiv.org/abs/2310.04668)]
+- (*WWW'24*) Can GNN be Good Adapter for LLMs? [[paper](https://arxiv.org/html/2402.12984v1)][[code](https://github.com/zjunet/GraphAdapter)]
 - (*arXiv 2023.07*) Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs [[paper](https://arxiv.org/abs/2307.03393)] [[code](https://github.com/CurryTang/Graph-LLM)]
 - (*arXiv 2023.09*) Can LLMs Effectively Leverage Structural Information for Graph Learning: When and Why [[paper](https://arxiv.org/abs/2309.16595)][[code](https://github.com/TRAIS-Lab/LLM-Structured-Data)]
 - (*arXiv 2023.10*) Empower Text-Attributed Graphs Learning with Large Language Models (LLMs) [[paper](https://arxiv.org/abs/2310.09872)]