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)

PDF Abstract

Evaluation results from the paper


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