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07/13/2023
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Knowledge Graph Embedding (KGE) models are used to learn continuous repr...
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07/21/2021
Relational Graph Convolutional Networks: A Closer Look
In this paper, we describe a reproduction of the Relational Graph Convol...
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04/16/2021
Finding Motifs in Knowledge Graphs using Compression
We introduce a method to find network motifs in knowledge graphs. Networ...
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12/09/2020
Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
Many traffic prediction applications rely on uncertainty estimates inste...
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02/14/2020
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynam...
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08/29/2019
Exploiting Temporality for Semi-Supervised Video Segmentation
In recent years, there has been remarkable progress in supervised image ...
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08/14/2019
End-to-End Learning from Complex Multigraphs with Latent Graph Convolutional Networks
We study the problem of end-to-end learning from complex multigraphs wit...
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12/07/2018
Three Tools for Practical Differential Privacy
Differentially private learning on real-world data poses challenges for ...
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10/31/2018
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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10/22/2018
Learning sparse transformations through backpropagation
Many transformations in deep learning architectures are sparsely connect...
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06/11/2018
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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06/09/2017
An Expectation-Maximization Algorithm for the Fractal Inverse Problem
We present an Expectation-Maximization algorithm for the fractal inverse...
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03/17/2017