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In this paper, we examine the main advances registered in the last ten years in Pattern Recognition methodologies based on graph matching and related techniques, analyzing more than 180 papers; the aim is to provide a systematic framework presenting the recent history and the current developments. This is made by introducing a categorization of graph-based techniques and reporting, for each class, the main contributions and the most outstanding research results.
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Foggia, P., Percannella, G., & Vento, M. (2013). GRAPH MATCHING AND LEARNING IN PATTERN RECOGNITION IN THE LAST 10 YEARS. International Journal of Pattern Recognition and Artificial Intelligence, 28(01), 1450001–1450001. https://doi.org/10.1142/s0218001414500013
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