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Topological deep learning is a rapidly growing field that pertains to the development of deep learning models for data supported on topological domains such as simplicial complexes, cell complexes, and hypergraphs, which generalize many domains encountered in scientific computations.
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Chad Topaz, Lori Ziegelmeier and Tom Halverson · 2015
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Slobodan Maletić, Yi Zhao and Milan Rajković · 2016
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Giulia Menichetti, Luca Dall’Asta and Ginestra Bianconi · 2016
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David. Shuman, Benjamin Ricaud and Pierre Vandergheynst · 2016
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Henry Adams et al · 2017
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Giorgio Ausiello and Luigi Laura · 2017
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Michael. Bronstein et al · 2017
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Edward Choi et al · 2017
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Jonathan Shlomi, Peter Battaglia and Jean-Roch Vlimant · 2020
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Fan Wang, Huidong Liu, Dimitris Samaras and Chao Chen · 2020
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Zonghan Wu et al · 2020
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Shi-Xue Zhang et al · 2020
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Weifeng Zhang, Jingwen Mao, Yi Cao and Congfu Xu · 2020
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Jie Zhou et al · 2020
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