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Batch Before You Lift: Scalable Topological Deep Learning on Large Graphs

David Leko et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
Topological Deep Learning extends graph-based learning to higher-order domains, such as hypergraphs, cellular, and simplicial complexes. These domains are typically constructed from patterns in an input graph through a process of graph lifting. Full-domain training constructs and stores the complete
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