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.

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-.