Deep Convolutional Networks on Graph-Structured Data
CoRR, Volume abs/1506.05163, 2015.
In contexts where feature similarities can be estimated using unlabeled data, our model has less parameters to learn from labeled data
Deep Learning's recent successes have mostly relied on Convolutional Networks, which exploit fundamental statistical properties of images, sounds and video data: the local stationarity and multi-scale compositional structure, that allows expressing long range interactions in terms of shorter, localized interactions. However, there exist...More
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