@@ -84,6 +84,7 @@ Large Language Models (LLMs) have shown remarkable progress in natural language
## Applications
### Basic Graph Reasoning
- (*KDD'24*) GraphWiz: An Instruction-Following Language Model for Graph Problems [[paper](https://arxiv.org/abs/2402.16029)][[code](https://github.com/nuochenpku/Graph-Reasoning-LLM)][[project](https://graph-wiz.github.io/)]
- (*NeurIPS'24*) GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning [[paper](https://arxiv.org/abs/2402.02130)][[code](https://github.com/WEIYanbin1999/GITA)][[project](https://v-graph.github.io/)]
- (*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)]
