Geometric deep learning on graphs and manifolds using mixture model CNNs

CVPR 2017 Federico MontiDavide BoscainiJonathan MasciEmanuele RodolàJan SvobodaMichael M. Bronstein

Deep learning has achieved a remarkable performance breakthrough in several fields, most notably in speech recognition, natural language processing, and computer vision. In particular, convolutional neural network (CNN) architectures currently produce state-of-the-art performance on a variety of image analysis tasks such as object detection and recognition... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Document Classification Cora MoNet Accuracy 81.7% # 4