Critiques

Critique 1. Learning the structure of molecular networks with Bayesian networks and Dependency networks. Due Sep 28th via Canvas.

Critique 2. Graph convolutional networks and GraphGPS. Due Oct 19th via Canvas.

Critique 3. node2vec and Variational graph auto-encoders. Due Nov 9th via Canvas.

Homeworks

Homework 1. Representation and learning of PGMs for molecular networks. Due Oct 13th, 2023. Submit via Canvas.

Homework 2. Graph neural networks. Due Nov 2nd, 2023. Submit via Canvas.

Homework 3. Unsupervised representation learning, clustering and alignment of graphs. Due Nov 22nd. Submit via Canvas.