
Relational Graph Convolutional Networks: A Closer Look
In this paper, we describe a reproduction of the Relational Graph Convol...
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Finding Motifs in Knowledge Graphs using Compression
We introduce a method to find network motifs in knowledge graphs. Networ...
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Uncertainty Intervals for Graphbased SpatioTemporal Traffic Prediction
Many traffic prediction applications rely on uncertainty estimates inste...
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A Hybrid 3DCNN and 3DCLSTM based model for 4D Spatiotemporal fMRI data: An ABIDE Autism Classification study
Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynam...
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Exploiting Temporality for SemiSupervised Video Segmentation
In recent years, there has been remarkable progress in supervised image ...
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EndtoEnd Learning from Complex Multigraphs with Latent Graph Convolutional Networks
We study the problem of endtoend learning from complex multigraphs wit...
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Three Tools for Practical Differential Privacy
Differentially private learning on realworld data poses challenges for ...
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A tutorial on MDL hypothesis testing for graph analysis
This document provides a tutorial description of the use of the MDL prin...
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Learning sparse transformations through backpropagation
Many transformations in deep learning architectures are sparsely connect...
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Deep Learning for Classification Tasks on Geospatial Vector Polygons
In this paper, we evaluate the accuracy of deep learning approaches on g...
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An ExpectationMaximization Algorithm for the Fractal Inverse Problem
We present an ExpectationMaximization algorithm for the fractal inverse...
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Modeling Relational Data with Graph Convolutional Networks
Knowledge graphs enable a wide variety of applications, including questi...
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Peter Bloem
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