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Graph Theory Basics
Introduces graph theory basics, Ramsey theory, and graph coloring concepts.
Graph Theory Fundamentals
Covers the fundamentals of graph theory, including vertices, edges, degrees, walks, connected graphs, cycles, and trees, with a focus on the number of edges in a tree.
Statistical Analysis of Network Data: Structures and Models
Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.
Max Sum Diversification
Explores maximizing diversity in document selection, graph clique determination, theorems on negative type, and convex optimization.
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