Machine Learning with Graphs 2026/27

Week Date Lectures Labs Coursework
1 Oct 7th Graphs definitions & terminology, tasks & settings, brief history / (lack of material)
2 Oct 14th Node ranking by position, community detection, link prediction NetworkX, ranking actors, clustering graphs, predicting dependencies
3 Oct 21st Kernel functions, embeddings by random walks, matrix factorization Graph similarity, classifying packages, predicting dormitories
4 Oct 28th Deep learning, graph neural networks, standard architectures PyTorch (Geometric), graph neural networks, custom datasets Homework #1 out
5 Nov 4th ? ?
6 Nov 11th ? ?
7 Nov 18th ? Course projects, etc. Homework #1 due
8 Nov 25th / (student presentations) ? Project proposals
9 Dec 2nd ? ? Homework #2 out
10 Dec 9th ? ?
11 Dec 16th ? ?
12 Dec 23rd ? ? Homework #2 due
13 Dec 30th / (holidays) / (holidays)
14 Jan 6th ? ?
15 Jan 13th / (student presentations) ? Project presentations