Prerequisites II: Topology - Cristian Bodnar

Prerequisites II: Topology - Cristian Bodnar

Lecture 2: Topological Message Passing - Cristian BodnarSee more

Lecture 2: Topological Message Passing - Cristian Bodnar

Cristian Bodnar (11/7/23): A Sheaf-based Approach to Graph Neural NetworksSee more

Cristian Bodnar (11/7/23): A Sheaf-based Approach to Graph Neural Networks

ActInf MathStream 005.1 ~ Cristian Bodnar "Topological Deep Learning: Graphs, Complexes, Sheaves"See more

ActInf MathStream 005.1 ~ Cristian Bodnar 'Topological Deep Learning: Graphs, Complexes, Sheaves'

Lecture 3: Sheaf Neural Networks - Cristian BodnarSee more

Lecture 3: Sheaf Neural Networks - Cristian Bodnar

Prerequisites I: Groups, Representations & Equivariance - Maurice WeilerSee more

Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler

AMMI 2022 Course "Geometric Deep Learning" - Seminar 4 (Neural Sheaf Diffusion) - Cristian BodnarSee more

AMMI 2022 Course 'Geometric Deep Learning' - Seminar 4 (Neural Sheaf Diffusion) - Cristian Bodnar

Actual