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On The Choice Of Graph Neural Network Architectures

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IEEE ICASSP 2020 Virtual Conference May 2020

Seminal works on graph neural networks have primarily targeted semi-supervised node classification problems with few observed labels and high-dimensional signals. With the development of graph networks, this setup has become a de facto benchmark for a sig

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On The Choice Of Graph Neural Network Architectures

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Seminal works on graph neural networks have primarily targeted semi-supervised node classification problems with few observed labels and high-dimensional signals. With the development of graph networks, this setup has become a de facto benchmark for a sig