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 |