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researcher

Kim Baskerville

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.MN2
  • q-bio.QM1
same name
  • Kim Baskerville — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSubgraph Ensembles and Motif Discovery Using a New Heuristic for Graph Isomorphism

31 citations · 52 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.MN2007★ 5 cited

Node similarity within subgraphs of protein interaction networks

Orion Penner, Vishal Sood, Gabe Musso +3

We propose a biologically motivated quantity, twinness, to evaluate local similarity between nodes in a network. The twinness of a pair of nodes is the number of connected, labeled…

q-bio.MN2007★ 16 cited

Graph animals, subgraph sampling and motif search in large networks

Kim Baskerville, Peter Grassberger, Maya Paczuski

We generalize a sampling algorithm for lattice animals (connected clusters on a regular lattice) to a Monte Carlo algorithm for `graph animals', i.e. connected subgraphs in arbitra…

q-bio.QM2006★ 31 cited

Subgraph Ensembles and Motif Discovery Using a New Heuristic for Graph Isomorphism

Kim Baskerville, Maya Paczuski

A new heuristic based on vertex invariants is developed to rapidly distinguish non-isomorphic graphs to a desired level of accuracy. The method is applied to sample subgraphs from…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.