강의계획서
| 교과목코드 | DL221831 | 교과목명 | 인공지능 응용과 이해 |
|---|---|---|---|
| 강의학과 | 정보통신공학과 | 교수 | 정재희 |
| 교수소속 | 정보통신공학과 | 이수학년 | |
| 과목구분 | 과정구분 | 석·박사공통 | |
| 이메일 | jhjung@mju.ac.kr | 전화번호 |
| 주차 | 주제 |
|---|---|
| 1주차 | 1. Introduction of Graph |
| 2주차 | 2. Node embeddings |
| 3주차 | 3. Graph neural networks |
| 4주차 | 4. A general perspective on GNNs |
| 5주차 | 5. GNN augmentation and training |
| 6주차 | 6. Heterogenous graphs |
| 7주차 | 7. Knowledge graphs |
| 8주차 | 8. Reasoning over knowledge graphs |
| 9주차 | TBD : Recently published paper concenred about Graph AI (GAE, Graph Embedding, Graph Diffusion etc) |
| 10주차 | TBD : Recently published paper concenred about AI and bioinformaticsTBD : Recently published paper c |
| 11주차 | TBD : Recently published paper concenred about Graph AI (GAE, Graph Embedding, Graph Diffusion etc) |
| 12주차 | TBD : Recently published paper concenred about Graph AI (GAE, Graph Embedding, Graph Diffusion etc) |
| 13주차 | TBD : Recently published paper concenred about Graph AI (GAE, Graph Embedding, Graph Diffusion etc) |
| 14주차 | TBD : Recently published paper concenred about Graph AI (GAE, Graph Embedding, Graph Diffusion etc) |
| 15주차 | TBD : Recently published paper concenred about Graph AI (GAE, Graph Embedding, Graph Diffusion etc) |
| 16주차 |