Architectures of Topological Deep Learning: A Survey on Topological Neural Networks
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The curator’s take
Key pointsA comprehensive survey on topological neural networks.
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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