Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Simplicial 2-Complex Convolutional Neural Nets   Recently, neural network architectures have been developed to accommodate
when the data has the structure of a graph or, more generally, a hypergraph.
While useful, graph structures can be potentially limiting. Hypergraph
structures in general do not account for higher order relations between their
hyperedges. Simplicial complexes offer a middle ground, with a rich theory to
draw on. We develop a convolutional neural network layer on simplicial
2-complexes.

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The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: patt-sol
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The categories of this paper are: math-ph
18
The categories of this paper are: econ
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: nlin
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The categories of this paper are: physics
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The categories of this paper are: stat
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-ph
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The categories of this paper are: cmp-lg