- 목표 : 다다익선 컨셉으로 매일 2편씩 빠르게 읽고 정리하기 [Introduction, Approach, figures, Conclusion]
- 관심있는 논문 자세하게 읽어보기
- list
| paper | Date | |
|---|---|---|
| TGN-리뷰 | Temporal Graph Networks for Deep Learning on Dynamic Graphs | 21.9.27 |
| CGCNN-리뷰 | Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties | 21.9.27 |
| RLGN-리뷰 | Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks | 21.9.28 |
| GRAND-리뷰 | GRAND- Graph Neural Diffusion | 21.9.28 |
| PathCon-리뷰 | Relational Message Passing for Knowledge Graph Completion | 21.9.29 |
| KBGAT-리뷰 | Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs | 21.9.29 |
| SIGN-리뷰 | SIGN : Scalable Inception Graph Neural Networks | 21.10.05 |
- 목표 : GNN 관련 paper review 스터디에 참여하며 발표 자료 작성합니다.
- list
| paper | Q&A | date | |
|---|---|---|---|
| igmc[gnn-paper-study] | INDUCTIVE MATRIX COMPLETION BASED ON GRAPH NEURAL NETWORKS | igmc-QnA | 21.9.13 |