Simplicial Attention Networks

Encoding labeled graphs by labeling RAAM

Alessandro Sperduti · 1994

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Learning task-dependent distributed representations by backpropagation through structure

Christoph Goller and Andreas Kuchler · 1996

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A new model for learning in graph domains

Marco Gori, Gabriele Monfardini, and Franco Scarselli · 2005

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The graph neural network model

Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2008

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MNIST handwritten digit database

Yann LeCun and Corinna Cortes · 2010

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Slic superpixels compared to state-of-the-art superpixel methods

Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Süsstrunk · 2012

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Spectral networks and locally connected networks on graphs

Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2014

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Convolutional neural networks on graphs with fast localized spectral filtering

Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016

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Geometric deep learning on graphs and manifolds using mixture model cnns

Original

Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, and Michael M. Bronstein · 2016

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Neural message passing for quantum chemistry

Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017

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Semi-supervised classification with graph convolutional networks

Thomas N Kipf and Max Welling · 2017

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Attention is all you need

Original

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017

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Graph attention networks

Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018

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Hodge laplacians on graphs, 2019

Lek-Heng Lim · 2019

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Graph neural networks exponentially lose expressive power for node classification

Simplicial neural networks

Stefania Ebli, Michaël Defferrard, and Gard Spreemann · 2020

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Cell complex neural networks

Mustafa Hajij, Kyle Istvan, and Ghada Zamzmi · 2020

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Random walks on simplicial complexes and the normalized Hodge 1-Laplacian

Michael T Schaub, Austin R Benson, Paul Horn, Gabor Lippner, and Ali Jadbabaie · 2020

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Bscnets: Block simplicial complex neural networks, 2021

Yuzhou Chen, Yulia R. Gel, and H. Vincent Poor · 2021

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Principled simplicial neural networks for trajectory prediction

Nicholas Glaze, T. Mitchell Roddenberry, and Santiago Segarra · 2021

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Dist2cycle: A simplicial neural network for homology localization, 2021

Alexandros Dimitrios Keros, Vidit Nanda, and Kartic Subr · 2021

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