Abstract: Data and models can naturally be represented by graphs. Graph representation of data is used in many areas of science and engineering, making graph matching still currently important.

Abstract: Graph matching, as an important query technology, has been widely applied in various fields. With the increasing of graph data, users choose to encrypt a large number of graphs and store ...

This is a Python implementation of the Doubly Stochastic Projected Fixed Point (DSPFP) algorithm for solving the Quadratic Assignment Problem / Graph Matching..

DeepMind and Google researchers have proposed a powerful new graph matching network (GMN) model for the retrieval and matching of graph structured objects. GMN uses similarity learning for graph ...

Dual decomposition solvers for the quadratic assignment problem (QAP), also called graph matching in computer vision based on the LP_MP library.

Let G be a finite simple graph with vertex set and edge set. A spanning subgraph H is called a matching of G, if every connected component of H is isolated edge or isolated vertex. k-matching of G is ...

School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China. All graphs considered in the paper are simple and undirected. The terminology not defined here can be found in [1 ...