I. Introduction  
II. Notations and Preliminaries  
A. Graphs and Graph Neural Networks  
B. Self-attention and Transformers  
III. Design Perspectives of Graph Transformers  
A. Graph Inductive Bias  
IV. Taxonomy of Graph Transformers  
V. Application Perspectives of Graph Transformers  
VI. Open Issues and Future Directions  
VII. Conclusion