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Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results., , , and . IJCNN, page 1-8. IEEE, (2023)A benchmark for testing adaptive systems on structured data., and . ESANN, page 63-68. (1999)Cost-sensitive cascade graph neural networks., , and . ESANN, (2013)A ConceptLink Graph for Text Structure Mining., , , and . ACSC, volume 91 of CRPIT, page 129-137. Australian Computer Society, (2009)Graph Neural Networks for Ranking Web Pages., , , , , and . Web Intelligence, page 666-672. IEEE Computer Society, (2005)Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks., , , and . ICANN (2), volume 6353 of Lecture Notes in Computer Science, page 372-381. Springer, (2010)A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling., , , , , and . DAGM-Symposium, page 27-35. Springer, (1999)"Kernelized" Self-Organizing Maps for Structured Data., , , and . ESANN, page 19-24. (2007)Embedding of FRPN in CNN architecture., , , and . ESANN, page 133-138. (2020)A Self-Organising Map Approach for Clustering of XML Documents., , , and . IJCNN, page 1805-1812. IEEE, (2006)