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cs.CV2020
Multi-view adaptive graph convolutions for graph classification
Nikolas Adaloglou, Nicholas Vretos, Petros Daras
In this paper, a novel multi-view methodology for graph-based neural networks is proposed. A systematic and methodological adaptation of the key concepts of classical deep learning…
cs.CV2017
Non-linear Convolution Filters for CNN-based Learning
Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos +1
During the last years, Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in image classification. Their architectures have largely drawn inspiration b…