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10/31/2019
Image-Conditioned Graph Generation for Road Network Extraction
Deep generative models for graphs have shown great promise in the area o...
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04/17/2019
Estimating Cardinalities with Deep Sketches
We introduce Deep Sketches, which are compact models of databases that a...
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12/04/2018
Compositional Imitation Learning: Explaining and executing one task at a time
We introduce a framework for Compositional Imitation Learning and Execut...
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11/21/2018
Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks
Graph refinement, or the task of obtaining subgraphs of interest from ov...
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11/03/2018
Towards Sparse Hierarchical Graph Classifiers
Recent advances in representation learning on graphs, mainly leveraging ...
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09/03/2018
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
We describe a new deep learning approach to cardinality estimation. MSCN...
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05/30/2018
MolGAN: An implicit generative model for small molecular graphs
Deep generative models for graph-structured data offer a new angle on th...
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04/12/2018
Extraction of Airways using Graph Neural Networks
We present extraction of tree structures, such as airways, from image da...
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04/03/2018
Hyperspherical Variational Auto-Encoders
The Variational Auto-Encoder (VAE) is one of the most used unsupervised ...
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02/13/2018