Networks are a powerful way to describe and represent social, technological and biological systems. Such systems can all be studied as graphs, where nodes represent entities (e.g., people, web sites) and edges represent interactions (friendships, communication, links). Nodes in networks organize into groups that are commonly referred to as commu...
Creator:
Leskovec, Jure (Stanford University)
Created:
2012-03-01
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Neural networks are often represented as graphs of connections between neurons. However, despite their wide use, there is currently little understanding of the relationship between the graph structure of the neural network and its predictive performance. In this talk we systematically investigate how does the graph structure of neural networks a...
Creator:
Leskovec, Jure (Stanford University)
Created:
2020-09-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Online social media represent a fundamental shift of how informationis being produced, transferred and consumed. User generated content inthe form of blog posts, comments, and tweets establishes a connectionbetween the producers and the consumers of information. Tracking thepulse of the social media outlets, enables companies to gain feedbackand...
Creator:
Leskovec, Jure (Stanford University)
Created:
2012-03-28
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
