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Università della Svizzera italiana

Graph neural networks : operators and architectures

Grattarola, Daniele ; Alippi, Cesare (Dir.) ; Livi, Lorenzo (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO014.

This thesis explores the field of graph neural networks, a class of deep learning models designed to learn representations of graphs. We organise the work into two parts. In the first part, we focus on the essential building blocks of graph neural networks. We present three novel operators for learning graph representations: one graph convolutional layer and two methods for pooling. We put...

Consortium of Swiss Academic Libraries

Dictionary Learning for Fast Classification Based on Soft-thresholding

Fawzi, Alhussein ; Davies, Mike ; Frossard, Pascal

In: International Journal of Computer Vision, 2015, vol. 114, no. 2-3, p. 306-321

Consortium of Swiss Academic Libraries

3D Scene Flow Estimation with a Piecewise Rigid Scene Model

Vogel, Christoph ; Schindler, Konrad ; Roth, Stefan

In: International Journal of Computer Vision, 2015, vol. 115, no. 1, p. 1-28