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01/24/2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
A graph is a powerful concept for representation of relations between pa...
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02/09/2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Deep learning on graphs has become a popular research topic with many ap...
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11/27/2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
We propose a novel deep learning-based framework to tackle the challenge...
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04/10/2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
A number of problems can be formulated as prediction on graph-structured...
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09/17/2016
A Deep Metric for Multimodal Registration
Multimodal registration is a challenging problem in medical imaging due ...
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08/09/2016