
ImageConditioned Graph Generation for Road Network Extraction
Deep generative models for graphs have shown great promise in the area o...
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Estimating Cardinalities with Deep Sketches
We introduce Deep Sketches, which are compact models of databases that a...
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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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Graph Refinement based Tree Extraction using MeanField Networks and Graph Neural Networks
Graph refinement, or the task of obtaining subgraphs of interest from ov...
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Towards Sparse Hierarchical Graph Classifiers
Recent advances in representation learning on graphs, mainly leveraging ...
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Learned Cardinalities: Estimating Correlated Joins with Deep Learning
We describe a new deep learning approach to cardinality estimation. MSCN...
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MolGAN: An implicit generative model for small molecular graphs
Deep generative models for graphstructured data offer a new angle on th...
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Extraction of Airways using Graph Neural Networks
We present extraction of tree structures, such as airways, from image da...
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Hyperspherical Variational AutoEncoders
The Variational AutoEncoder (VAE) is one of the most used unsupervised ...
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Neural Relational Inference for Interacting Systems
Interacting systems are prevalent in nature, from dynamical systems in p...
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Thomas Kipf
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