Geometric Deep Learning: Going beyond Euclidean data

Deep Residual Learning for Image Recognition

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Extended-Connectivity Fingerprints

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Advances In Deep Learning On Graphs (Gsp'18 Workshop)

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Flownet: Learning optical flow with convolutional networks

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Deep Residual Learning for Image Recognition

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Spectral Networks and Locally Connected Networks on Graphs

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Gated Graph Sequence Neural NetworksPreprint

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Multi-view Convolutional Neural Networks for 3D Shape Recognition

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Collective Classification in Network Data

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Convolutional Networks on Graphs for Learning Molecular Fingerprints

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Learning Hierarchical Features for Scene Labeling

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Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

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GraRep

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Invariant Scattering Convolution Networks

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Diffusion-Convolutional Neural Networks

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Diffusion-Convolutional Neural NetworksPreprint

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Multi-view Convolutional Neural Networks for 3D Shape RecognitionPreprint

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Learning to Generate Chairs, Tables and Cars with Convolutional Networks

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Hodge Laplacians on Graphs

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Dense Human Body Correspondences Using Convolutional Networks

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Matrix Completion on GraphsPreprint

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