Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification

DOI10.1109/TIT.2022.3145847zbMath1497.68448OpenAlexW4207000263MaRDI QIDQ5088462

Mayank Baranwal, Alfred O. III Hero, Abram Magner

Publication date: 13 July 2022

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.2022.3145847

zbMATH Keywords

distinguishabilitygraph representation learninggraph convolutional networks (GCNs)graphon pairssynthetic and real graph classification datasets

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial neural networks and deep learning (68T07) Graph theory (including graph drawing) in computer science (68R10)

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