Topological graph persistence
2020 ◽
Vol 11
(1)
◽
pp. 72-87
Keyword(s):
Abstract Graphs are a basic tool in modern data representation. 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 this by extending previous work in homological persistence, and proposing novel graph-theoretical constructions. Beyond cliques, we use independent sets, neighborhoods, enclaveless sets and a Ramsey-inspired extended persistence.
1964 ◽
Vol 16
◽
pp. 353-357
◽
2021 ◽
Keyword(s):
1998 ◽
Vol 244
(1-3)
◽
pp. 85-91
◽
2016 ◽
Vol 30
(22)
◽
pp. 1650307
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