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Architectures of Topological Deep Learning: A Survey on Topological Neural Networks

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Architectures of Topological Deep Learning: A Survey on Topological Neural Networks
Paper summary

A comprehensive survey on topological neural networks.

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Key points
01

Topological DL taxonomy: Surveys neural networks operating on topological structures beyond graphs (simplicial complexes, cell complexes, hypergraphs).

02

Architecture catalog: Catalogs major topological DL architectures with their mathematical foundations.

03

Beyond-graph DL: Positions topological DL as the natural generalization of GNNs for higher-order interactions.

04

Reference survey: Standard reference for researchers entering the topological DL subfield.

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