Classification with Vertex-Based Graph Convolutional Neural Networks
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[1] Soummya Kar,et al. ON GRAPH CONVOLUTION FOR GRAPH CNNS , 2018, 2018 IEEE Data Science Workshop (DSW).
[2] Joan Bruna,et al. Deep Convolutional Networks on Graph-Structured Data , 2015, ArXiv.
[3] Donald F. Towsley,et al. Diffusion-Convolutional Neural Networks , 2015, NIPS.
[4] Pierre Vandergheynst,et al. Graph Signal Processing: Overview, Challenges, and Applications , 2017, Proceedings of the IEEE.
[5] Sepp Hochreiter,et al. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , 2015, ICLR.
[6] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[7] Jonathan Masci,et al. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[9] José M. F. Moura,et al. Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure , 2014, IEEE Signal Processing Magazine.
[10] Soummya Kar,et al. Topology adaptive graph convolutional networks , 2017, ArXiv.
[11] Pierre Vandergheynst,et al. Geometric Deep Learning: Going beyond Euclidean data , 2016, IEEE Signal Process. Mag..
[12] Pierre Vandergheynst,et al. Wavelets on Graphs via Spectral Graph Theory , 2009, ArXiv.