This repository maintains an organized list of academic papers on Graph Transformers, a deep learning architecture that applies transformer mechanisms to graph-structured data. The papers are categorized by techniques such as positional encoding, attention mechanisms, and applications. The maintainers update the list periodically with new research and organize it based on methodological approaches.