1 INTRODUCTION  
2 PROBLEM DEFINITION  
3 CATEGORIZATION AND FRAMEWORKS  
4 GRAPH DOMAIN ADAPTATION LEARNING  
5 GRAPH OUT-OF-DISTRIBUTION LEARNING  
6 GRAPH CONTINUAL LEARNING  
7 APPLICATIONS  
8 FUTURE DIRECTIONS  
9 CONCLUSION