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- W2896429407 abstract "Graphs are a basic tool for the representation of modern data. The richness of the topological information contained in a graph goes far beyond its mere interpretation as a one-dimensional simplicial complex. We show how topological constructions can be used to gain information otherwise concealed by the low-dimensional nature of graphs. We do that by extending previous work of other researchers in homological persistence, by proposing novel graph-theoretical constructions. Beyond cliques, we use independent sets, neighborhoods, enclaveless sets and a Ramsey-inspired extended persistence." @default.
- W2896429407 created "2018-10-26" @default.
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- W2896429407 date "2017-07-30" @default.
- W2896429407 modified "2023-09-27" @default.
- W2896429407 title "Topological Graph Persistence" @default.
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