On the choice of graph neural network architectures

13 Nov 2019Clément VignacGuillermo Ortiz-JiménezPascal Frossard

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 significant body of research... (read more)

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