Lectures related to Untitled | EPFL Graph Search

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

Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

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

Covers the approximation of functions using tangent lines and derivatives.

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