1 INTRODUCTION

2 BACKGROUND AND CATEGORIZATION  
2.1 Recurrent GNNs  
2.2 Convolutional GNNs  
2.3 Graph Transformers for 3D Data  

3 IMAGE UNDERSTANDING  
3.1 Image Classification  
3.2 Object Detection  
3.3 Image Segmentation  
3.4 Scene Graph Generation (SGG)  

4 VIDEO UNDERSTANDING  
4.1 Video Action Recognition  
4.2 Temporal Action Localization  
4.3 Others  
4.4 Discussion  

5 VISION AND LANGUAGE  
5.1 Visual Question Answering  
5.2 Visual Grounding  
5.3 Image and Video Captioning  
5.4 Others  
5.5 Discussion  

6 3D DATA ANALYSIS  
6.1 3D Representation Learning  
6.2 3D Understanding  
6.3 3D Generation  

7 MEDICAL IMAGE ANALYSIS  
7.1 Brain Activity Investigation  
7.2 Disease Diagnosis  
7.3 Anatomy Segmentation  
7.4 Discussion  

8 CONCLUSIONS