Learning the Graph Edit Costs Based on a Learning Model Applied to Sub-optimal Graph Matching
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-019-10121-w.pdf
Reference48 articles.
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3. Bongini M, Rigutini L, Trentin E (2018) Recursive neural networks for density estimation over generalized random graphs. IEEE Trans Neural Netw Learn Syst 29(11):5441–5458. https://doi.org/10.1109/TNNLS.2018.2803523
4. Bougleux S, Brun L, Carletti V, Foggia P, Gaüzère B, Vento M (2017) Graph edit distance as a quadratic assignment problem. Pattern Recognit Lett 87:38–46
5. Bunke H, Allermann G (1983) Inexact graph matching for structural pattern recognition. Pattern Recognit Lett 1(4):245–253. https://doi.org/10.1016/0167-8655(83)90033-8
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