Implementing graph neural networks with TensorFlow-Keras

Graph neural networks are a versatile machine learning architecture that received a lot of attention recently. In this technical report, we present an implementation of convolution and pooling layers for TensorFlow-Keras models, which allows a seamless and flexible integration into standard Keras la...

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Veröffentlicht in:	arXiv.org 2021-03
Hauptverfasser:	Reiser, Patrick, Eberhard, Andre, Friederich, Pascal
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science - Artificial Intelligence Computer Science - Learning Convolution Graph neural networks Machine learning Mathematical analysis Neural networks Tensors
Online-Zugang:	Volltext
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