Graph Neural Networks - Lecture 15 - Learning in Life Sciences (Spring 2021)

MIT 6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Guest lecturers: Neil Band, Maria Brbic / Jure Leskovec
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist: https://youtube.com/playlist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Course overview
5:12 Graphs/networks
12:00 Graph neural networks
27:04 Semi-supervised learning
29:51 Multi-relational data
31:27 Natural language processing
40:02 Unsupervised learning with GNNs
49:30 Graph generation
1:01:21 Latent graph inference
1:05:08 Future work in GNNs
1:07:53 Feature learning in graphs
1:12:09 Analyzing networks
1:18:15 Aggregating neighbours
1:24:51 Modeling polypharmacy side effects
1:32:35 Meta-learning representations

Видео Graph Neural Networks - Lecture 15 - Learning in Life Sciences (Spring 2021) канала Manolis Kellis