#Graph Transformer

The repository features a broad selection of research papers on Graph Transformers, organized by technique and application. It is a perpetually updated resource for those invested in recent developments and practices in Graph Transformers. Covering areas like structural encoding, scalability, and various applications including molecular analysis and recommendation systems, this repository presents a comprehensive view of the domain. Contributions in the form of error reports or paper submissions are welcomed.