GNN-자료 정리

GNN 자료를 천천히 정리해보고 공부하려고 함.

주기적으로 업데이트 하려고 함.

 

내용	링크	업데이트 시기	자료 시기
CS224W	http://web.stanford.edu/class/cs224w/	21/07/03
CS224W-YOUTUBE	https://www.youtube.com/watch?v=JAB_plj2rbA&list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn&index=1&ab_channel=stanfordonline	21/07/03
Intro to graph neural networks (ML Tech Talks)(Tensorflow Youtube)(직관적)	https://www.youtube.com/watch?v=8owQBFAHw7E&t=898s&ab_channel=TensorFlow	21/07/03	21/06/18
An Introduction to Graph Neural Networks: Models and Applications	https://www.youtube.com/watch?v=zCEYiCxrL_0&t=5s&ab_channel=MicrosoftResearch	21/07/03	20/05/09
Graph neural networks and reinforcement learning in	https://www.youtube.com/watch?v=wiD0-2MElgc&ab_channel=AppliedMachineLearningDays	21/07/03	20/02/20
[#30.Lec] Basic of Graph Convolution Network - 딥러닝 홀로서기	https://www.youtube.com/watch?v=YL1jGgcY78U&ab_channel=IdeaFactoryKAIST	21/07/03	19/02/19
Must-read papers on GNN(논문 모음)	https://github.com/thunlp/GNNPapers	21/07/03	21/06/01(?)
medium (gnn use case 등 자료 많음)	https://gordicaleksa.medium.com/how-to-get-started-with-graph-machine-learning-afa53f6f963a	21/07/18	21/02/?
GAT GIT 자료	https://github.com/gordicaleksa/pytorch-GAT	21/07/18	21/01?
GNN 투빅스 자료	https://velog.io/@tobigs-gnn1213/1.-Introduction-Structure-of-graph	21/07/18	21/03?