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Related lectures (31)

Graph Surfaces: Integration and Vector Calculus Log in to Mediaspace to watch this video

Covers integrating functions over graph surfaces in vector calculus, emphasizing the interpretation of divergence theorem and special cases of domain between two graphs.

Sparsest Cut: ARV Theorem Log in to Mediaspace to watch this video

Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.

Statistical Analysis of Network Data: Structures and Models Log in to Mediaspace to watch this video

Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.

Graph Theory Fundamentals Log in to Mediaspace to watch this video

Explores fundamental graph theory concepts, Erdős' results, Chromatic Lemma, and Union Bound theorem in graph theory.

Graph Algorithms: Modeling and Representation Log in to Mediaspace to watch this video

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Expander Graphs: Properties and Eigenvalues Log in to Mediaspace to watch this video

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

Graph Processing: Oracle Labs Insights Log in to Mediaspace to watch this video

Explores the ubiquity of graphs in modern data and analytics, focusing on the shift in organizations' perception of graph technologies.

Sparsest Cut and Concurrent Flow Log in to Mediaspace to watch this video

Covers sparsest cut, NP-completeness, Bougains Theorem, and concurrent flow in graphs.

Concurrent Programming: Theory to Practice Log in to Mediaspace to watch this video

Explores concurrent programming theory and practice, covering system models, cache coherence, and graph processing.

Statistical analysis of network data Log in to Mediaspace to watch this video

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Graph Machine Learning Log in to Mediaspace to watch this video

Delves into graph-enhanced machine learning, focusing on fraud detection, malware detection, and recommendation systems.

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