Jia Wu

Computer Science

1. Graph Neural Network 100%
2. Experimental Result 60%
3. Social Network 55%
4. Subgraphs 38%
5. Anomaly Detection 36%
6. Knowledge Graph 36%
7. Deep Learning Method 35%
8. Heterogeneous Graph 24%
9. Instance Learning 23%
10. Fake News Detection 23%
11. Representation Learning 23%
12. Event Detection 22%
13. Node Classification 20%
14. Classification Accuracy 19%
15. Neural Network 19%
16. Learning Framework 18%
17. Fraud Detection 18%
18. Attention (Machine Learning) 17%
19. Online Social Network 17%
20. Recommender System 16%
21. Learning System 16%
22. Machine Learning 16%
23. Feature Extraction 16%
24. Time Series Data 15%
25. Deep Neural Network 14%
26. Contrastive Learning 14%
27. Graph Convolutional Network 13%
28. Network Structure 13%
29. Link Prediction 13%
30. Community Detection 12%
31. Baseline Method 12%
32. Decision Tree 12%
33. Graph Representation 12%
34. Superior Performance 12%
35. Embedding Method 12%
36. World Application 12%
37. Deep Reinforcement Learning 12%
38. Feature Selection 11%
39. Regularization 11%
40. User Preference 11%
41. Classification Models 11%
42. Twitter 10%
43. Graph Contrastive Learning 10%
44. Data Mining 10%
45. Objective Function 10%
46. Learning Algorithm 10%
47. Graph Attention Network 10%
48. Autoencoder 10%
49. Large Language Model 10%
50. Evaluation Metric 10%