This paper describes how graph-spectral methods can be used to transform the node correspondence problem into one of point-set alignment.
This paper describes how graph-spectral methods can be used to transform the node correspondence problem into one of point-set alignment.
Abstract. This paper describes how graph-spectral methods can be used to transform the node correspondence problem into one of point- set alignment.
In this paper we cast the problem of graph matching as one of non-rigid manifold alignment. The low dimensional manifolds are from the commute time embedding.
Bibliographic details on Graph Matching Using Manifold Embedding.
Manifold embedding for shape analysis - ScienceDirect.com
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With the nodes in the graph transformed to points in a metric space, we can recast the problem of graph-matching into that of aligning the point-sets. Here we ...
The idea is to embed the nodes of a graph into a metric space and view the graph edge-set as geodesics between pairs of points in a Riemannian manifold. Viewed ...
Apr 19, 2018 · In this paper, we study isometric embeddings of graphs into Riemannian manifolds. We give some classifications of graphs that can be isometrically embedded ...
Mar 25, 2022 · New approach to embed graphs into heterogeneous manifolds to preserve both pairwise distances and node-wise curvature information.
Abstract. We develop a matched signal detection (MSD) theory for signals with an intrinsic structure described by a weighted graph. Hy-.
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