IEEE Signal Processing Magazine· 2017Q1· Review

Geometric Deep Learning: Going beyond Euclidean data

Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam et al.

3,646citations
Q1SCImago
2017year

Short summary

Geometric deep learning (GDL) extends deep neural networks to non-Euclidean data like graphs and manifolds, enabling analysis of complex, structured information.

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Field: Computational Mechanics

Computational MechanicsEngineering