GraphGPT is a research framework that enables LLMs to interpret and respond to graph-structured inputs by applying instruction tuning techniques. The method aligns graph representations with the language model’s capabilities, allowing it to process text-attributed graphs and perform tasks like node classification and link prediction. Published at SIGIR 2024 by the Data Intelligence Lab at the University of Hong Kong.