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The aim of this work is to introduce simplicial attention networks (SANs), i.e., novel neural architectures that operate on data defined on simplicial complexes leveraging masked self-attentional layers.
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T. Mitchell Roddenberry and Santiago Segarra · 2019
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Indro Spinelli, Simone Scardapane, and Aurelio Uncini · 2019
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Sergio Barbarossa and Stefania Sardellitti · 2020
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T Mitchell Roddenberry, Nicholas Glaze, and Santiago Segarra · 2021
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Finite impulse response filters for simplicial complexes
Maosheng Yang, Elvin Isufi, Michael T Schaub, and Geert Leus · 2021
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Simplicial attention networks
Christopher Wei Jin Goh, Cristian Bodnar, and Pietro Lio · 2022
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