Graph Classification with 2D Convolutional Neural Networks

ICLR 2018 Antoine Jean-Pierre TixierGiannis NikolentzosPolykarpos MeladianosMichalis Vazirgiannis

Graph learning is currently dominated by graph kernels, which, while powerful, suffer some significant limitations. Convolutional Neural Networks (CNNs) offer a very appealing alternative, but processing graphs with CNNs is not trivial... (read more)

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