1-1. drug rating prediction(from kaggle drug data)
- experiment ipynb file and explain pdf
- ipynb files
1-2. drug rating prediction(using config.yml hyperparameter)
- using config.yml hyperparameter gnn model
- python files
1. Introduction : Structure of Graphs
2. Traditional Methods for ML on Graphs
5. Label Propagation for Node Classification
6. Graph Neural Networks 1: GNN Model
7. Graph Neural Networks 2: Design Space
8. Applications of Graph Neural Networks
9. Theory of Graph Neural Networks
10. Knowledge Graph Embeddings
11. Reasoning over Knowledge Graphs
12. Frequent Subgraph Mining with GNNs