599 citations · 1.2k across the 114 of their papers we have counts for
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Kernel Graph Convolutional Neural Networks
Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier +2
Graph kernels have been successfully applied to many graph classification problems. Typically, a kernel is first designed, and then an SVM classifier is trained based on the featur…
Graph Classification with 2D Convolutional Neural Networks
Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos +1
Graph learning is currently dominated by graph kernels, which, while powerful, suffer some significant limitations. Convolutional Neural Networks (CNNs) offer a very appealing alte…
Adaptive Submodular Influence Maximization with Myopic Feedback
Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis
This paper examines the problem of adaptive influence maximization in social networks. As adaptive decision making is a time-critical task, a realistic feedback model has been cons…