Aug 9, 2019 · We formulate the problem and present a meta-algorithm based on expectation-maximization that alternately aligns the network and the structure.
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This can be done by aligning the images structurally (through reg- istration), topologically (through network alignment) or, as we demonstrate in this paper, ...
This paper applies rigid graph alignment to functional brain networks derived from 20 subjects drawn from the Human Connectome Project (HCP) database, ...
We formulate the problem and present a meta-algorithm based on expectation-maximization that alternately aligns the network and the structure. We demonstrate ...
Jan 9, 2023 · Rigid graph alignment aims to find correspondences be- tween nodes in two input graphs such that edge mappings induced by these correspondences ...
Sep 15, 2022 · Our formulation of rigid graph alignment simultaneously aligns the topology of the input graphs, as well as the geometric structure ...
This document proposes a method for rigid graph alignment that simultaneously aligns the network topology and underlying spatial structure of graphs. Rigid ...
Rigid Graph Alignment. https://doi.org/10.1007/978-3-030-36687-2_52. Journal ... Berg, J., Lässig, M.: Local graph alignment and motif search in biological ...
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