Lectures related to Graph canonization

Explores bipartite graphs, independent sets, Shearer's Lemma, labeled graphs, and entropy analysis.

Explores the computation of the modularity measure and betweenness centrality in graphs for community detection.

Covers the concept of graph isomorphisms, explaining the definition, notation, examples, computational complexity, and number of isomorphism classes.

Explains isomorphic graphs through examples and the relationship with identical graphs.

Covers the fundamental building blocks of deep learning, including tensors, backpropagation, and PyTorch.