Federico Barbero | DeepAI

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∙ 02/06/2023

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

Message Passing Neural Networks (MPNNs) are instances of Graph Neural Ne...

0 Francesco Di Giovanni, et al. ∙

∙ 11/26/2022

Latent Graph Inference using Product Manifolds

Graph Neural Networks usually rely on the assumption that the graph topo...

0 Haitz Saez de Ocariz Borde, et al. ∙

∙ 09/24/2022

Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression

We demonstrate the applicability of model-agnostic algorithms for meta-l...

0 Haitz Saez de Ocariz Borde, et al. ∙

∙ 06/17/2022

Sheaf Neural Networks with Connection Laplacians

A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) tha...

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∙ 10/08/2020

Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation

Machine learning for malware classification shows encouraging results, b...

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