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Lecture
Expander Graphs: Properties and Eigenvalues
Graph Chatbot
Related lectures (29)
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Graphical Models: Probability Distributions and Factor Graphs
Covers graphical models for probability distributions and factor graphs representation.
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Explores isogenic graphs, spectral properties, and mathematical applications in modular forms and cryptography.
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Explores the Szemerédi Regularity Lemma, e-regularity in bipartite graphs, supergraph structure, and induction techniques.
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Explores spectral clustering theory, eigenvalue decomposition, Laplacian matrix, and practical applications in identifying clusters.
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