On Whole-Graph Embedding Techniques

DOI10.1007/978-3-030-73241-7_8zbMath1482.68202OpenAlexW3186476709MaRDI QIDQ5153023

Unnamed Author, Lucia Maddalena, Ichcha Manipur, Mario Rosario Guarracino

Publication date: 28 September 2021

Published in: Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-73241-7_8

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Graph representations (geometric and intersection representations, etc.) (05C62)

Related Items (1)

Adversarial attacks on graph-level embedding methods: a case study

Cites Work

• A unifying view of explicit and implicit feature maps of graph kernels
• Network classification with applications to brain connectomics
• Model simplification for supervised classification of metabolic networks
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