YoVDO

Cell Complex Neural Networks

Offered By: Applied Algebraic Topology Network via YouTube

Tags

Applied Algebraic Topology Courses Neural Networks Courses

Course Description

Overview

Explore the concept of Cell Complex Neural Networks in this 46-minute lecture presented by Mustafa Hajij for the Applied Algebraic Topology Network. Delve into the world of cell complexes, topological spaces constructed from simple blocks called cells, and discover how they generalize graphs, simplicial complexes, and polyhedral complexes. Learn about a novel, combinatorial, and unifying construction for performing neural network-type computations on cell complexes. Examine the introduction of inter-cellular message passing schemes that consider the topology of the underlying space. Understand how this method generalizes many popular types of graph neural networks, providing a comprehensive framework for computational analysis on complex topological structures.

Syllabus

Mustafa Hajij (07/07/21): Cell Complex Neural Networks


Taught by

Applied Algebraic Topology Network

Related Courses

Optimal Topological Simplification of Surfaces
Applied Algebraic Topology Network via YouTube
Approximation of Compact Metric Spaces by Finite Samples
Applied Algebraic Topology Network via YouTube
Computing Optimal Homotopies
Applied Algebraic Topology Network via YouTube
Žiga Virk - Information Encoded in Persistence Diagrams
Applied Algebraic Topology Network via YouTube
Barbara Giunti - Average Complexity of Barcode Computation for Vietoris-Rips Filtrations
Applied Algebraic Topology Network via YouTube