ACM Reference Format:

1. Introduction

2. Background

3. Graph Convolutions

4. Graph Kernel Neural Networks

5. Graph Pooling

6. Graph Transformer

7. Semi-supervised Learning on Graphs

8. Graph Self-supervised Learning

9. Graph Structure Learning

10. Social Analysis

11. Molecular Property Prediction

12. Molecular Generation

13. Recommender Systems

14. Traffic Analysis

15. Summary

16. Discussion

17. Future Directions

18. Conclusion