Thomas Kipf

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University of Amsterdam

Image-Conditioned Graph Generation for Road Network Extraction

Deep generative models for graphs have shown great promise in the area o...
10/31/2019 ∙ by Davide Belli, et al. ∙ 11 ∙ share

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Estimating Cardinalities with Deep Sketches

We introduce Deep Sketches, which are compact models of databases that a...
04/17/2019 ∙ by Andreas Kipf, et al. ∙ 0 ∙ share

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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...
12/04/2018 ∙ by Thomas Kipf, et al. ∙ 4 ∙ share

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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...
11/21/2018 ∙ by Raghavendra Selvan, et al. ∙ 10 ∙ share

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Towards Sparse Hierarchical Graph Classifiers

Recent advances in representation learning on graphs, mainly leveraging ...
11/03/2018 ∙ by Cătălina Cangea, et al. ∙ 0 ∙ share

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Learned Cardinalities: Estimating Correlated Joins with Deep Learning

We describe a new deep learning approach to cardinality estimation. MSCN...
09/03/2018 ∙ by Andreas Kipf, et al. ∙ 0 ∙ share

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MolGAN: An implicit generative model for small molecular graphs

Deep generative models for graph-structured data offer a new angle on th...
05/30/2018 ∙ by Nicola De Cao, et al. ∙ 0 ∙ share

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Extraction of Airways using Graph Neural Networks

We present extraction of tree structures, such as airways, from image da...
04/12/2018 ∙ by Raghavendra Selvan, et al. ∙ 0 ∙ share

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Hyperspherical Variational Auto-Encoders

The Variational Auto-Encoder (VAE) is one of the most used unsupervised ...
04/03/2018 ∙ by Tim R. Davidson, et al. ∙ 0 ∙ share

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Neural Relational Inference for Interacting Systems

Interacting systems are prevalent in nature, from dynamical systems in p...
02/13/2018 ∙ by Thomas Kipf, et al. ∙ 0 ∙ share

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Thomas Kipf

Featured Co-authors

Max Welling

Pushmeet Kohli

Pietro Liò

Richard Zemel

Marleen de Bruijne

Edward Grefenstette

Jakub M. Tomczak

Yujia Li

Hanjun Dai

Peter Battaglia

Jens Petersen

Image-Conditioned Graph Generation for Road Network Extraction

Estimating Cardinalities with Deep Sketches

Compositional Imitation Learning: Explaining and executing one task at a time

Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks

Towards Sparse Hierarchical Graph Classifiers

Learned Cardinalities: Estimating Correlated Joins with Deep Learning

MolGAN: An implicit generative model for small molecular graphs

Extraction of Airways using Graph Neural Networks

Hyperspherical Variational Auto-Encoders

Neural Relational Inference for Interacting Systems