Oct 4, 2013 · Abstract:We present a parallelized bijective graph matching algorithm that leverages seeds and is designed to match very large graphs.
We present a parallelized bijective graph matching algorithm that leverages seeds and is designed to match very large graphs.
Spectral clustering for divide-and-conquer graph matching
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We present a parallelized bijective graph matching algorithm that leverages seeds and is designed to match very large graphs.
Our algorithm combines spectral graph embedding with existing state-of-the-art seeded graph matching procedures. We theoretically justify our approach by ...
Spectral clustering for divide-and-conquer graph matching
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May 29, 2015 · Abstract We present a parallelized bijective graph matching algorithm that leverages seeds and is designed to match very large graphs.
A novel approximate graph matching algorithm that incorporates seeded data into the graph matching paradigm and demonstrates the versatility of the ...
We present a novel divide-and-conquer bijective graph matching algorithm.The algorithm is fully parallelizable, and scales to match "big data" graphs.
This directory contains the codes for reproducing the figures in the paper Spectral Clustering for Divide-and-Conquer Graph Matching.
In this paper, we present two divide-and-conquer algorithms for clustering large graphs. Both algorithms apply a base algorithm on several small subgraphs ...
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