[Abstract] Geometric Deep Learning for Non-Euclidean Graphs : graph-tutorial.pytorch

[bmsookim]

1. Non Euclidean Space data 중, Graph Handling 에 대한 전반적인 소개

2. 리뷰할 논문

• Geometric Deep Learning: Going Beyond Euclidean Data
• Revisiting Semi-Supervised Learning with Graph Embeddings
• Semi-Supervised Classification with Graph Convolutional Networks
• Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
• Graph Attention Networks

3. Non-Euclidean Space 설명 / Graph Data 설명 / 각 spectral domain 과 spacial domain 에 해당하는 GCN / GAT의 구현

[bmsookim]

Github 튜토리얼 링크 : https://github.com/meliketoy/graph-tutorial.pytorch docker image 링크 : https://cloud.docker.com/repository/docker/meliketoy/pt_kr_bumsoo_kim/general docker image run : docker run -it meliketoy/pt_kr_bumsoo_kim python [:단원]/train.py

[bmsookim]

[2018.12.27. 11:00 am] 오타 수정