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Journal ArticleDOI

Approximate graph edit distance computation by means of bipartite graph matching

Kaspar Riesen, +1 more
- 01 Jun 2009 - 
- Vol. 27, Iss: 7, pp 950-959
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TLDR
A novel algorithm is introduced which allows us to approximately, or suboptimally, compute edit distance in a substantially faster way and is emprically verified that the accuracy of the suboptimal distance remains sufficiently accurate for various pattern recognition applications.
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This article is published in Image and Vision Computing.The article was published on 2009-06-01. It has received 654 citations till now. The article focuses on the topics: Graph operations & Line graph.

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Citations
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Journal ArticleDOI

A New Method for Measuring Topological Structure Similarity between Complex Trajectories

TL;DR: The Comprehensive Structure Matching (CSM) algorithm is used to examine the 1993 to 2012 complex trajectories of anticyclonic eddies in the South China Sea and shows that the CSM algorithm outperforms the EGED in terms of the computation efficiency.
Journal ArticleDOI

A comparative analysis of the Tanimoto index and graph edit distance for measuring the topological similarity of trees

TL;DR: This paper discusses numerical results for exploring the approximation behavior of the Tanimoto index by GED and discusses cumulative similarity/distance distributions of these measures and other data analysis methods.
Proceedings ArticleDOI

funcGNN: A Graph Neural Network Approach to Program Similarity

TL;DR: In this article, a graph neural network (GNN) is used to estimate the graph edit distance (GED) between programs by analyzing the associated control flow graphs (CFGs).
Journal ArticleDOI

Embedding of graphs with discrete attributes via label frequencies

TL;DR: A new way of embedding discrete attributed graphs into vector spaces using node and edge label frequencies is presented, shown to be competitive to state-of-the-art classification algorithms for graphs, while being computationally much more efficient.
Proceedings ArticleDOI

Sequential Motif Profiles and Topological Plots for Offline Signature Verification

TL;DR: Inspired by the recent use of image visibility graphs for mapping images into networks, their use as a parameter free, agnostic representation for exploring global as well as local information is introduced for the first time in offline SV literature.
References
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Journal ArticleDOI

The Protein Data Bank

TL;DR: The goals of the PDB are described, the systems in place for data deposition and access, how to obtain further information and plans for the future development of the resource are described.
Journal ArticleDOI

The Hungarian method for the assignment problem

TL;DR: This paper has always been one of my favorite children, combining as it does elements of the duality of linear programming and combinatorial tools from graph theory, and it may be of some interest to tell the story of its origin this article.
Journal ArticleDOI

A Formal Basis for the Heuristic Determination of Minimum Cost Paths

TL;DR: How heuristic information from the problem domain can be incorporated into a formal mathematical theory of graph searching is described and an optimality property of a class of search strategies is demonstrated.
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