Thomas Kipf
Thomas Kipf
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
5th International Conference on Learning Representations (ICLR-17), 2016
86532016
Modeling Relational Data with Graph Convolutional Networks
M Schlichtkrull*, TN Kipf*, P Bloem, R Berg, I Titov, M Welling
15th European Semantic Web Conference (ESWC-18), 2017
12572017
Variational Graph Auto-Encoders
TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS-16 BDL), 2016
9832016
Graph convolutional matrix completion
R Berg, TN Kipf, M Welling
KDD Deep Learning Day (KDD-18 DLD), 2017
4022017
MolGAN: An implicit generative model for small molecular graphs
N De Cao, T Kipf
ICML Workshop on Theoretical Foundations and Applications of Deep …, 2018
3272018
Neural Relational Inference for Interacting Systems
T Kipf*, E Fetaya*, KC Wang, M Welling, R Zemel
35th International Conference on Machine Learning (ICML-18), 2018
2892018
Hyperspherical Variational Auto-Encoders
TR Davidson*, L Falorsi*, N De Cao*, T Kipf, JM Tomczak
34th Conference on Uncertainty in Artificial Intelligence (UAI-18), 2018
1772018
Learned cardinalities: Estimating correlated joins with deep learning
A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper
Conference on Innovative Data Systems Research (CIDR-19), 2018
1382018
Towards Sparse Hierarchical Graph Classifiers
C Cangea*, P Veličković*, N Jovanović, T Kipf, P Liò
arXiv preprint arXiv:1811.01287, 2018
922018
Contrastive learning of structured world models
T Kipf, E van der Pol, M Welling
arXiv preprint arXiv:1911.12247, 2019
672019
Object-Centric Learning with Slot Attention
F Locatello*, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
arXiv preprint arXiv:2006.15055, 2020
502020
Superradiance and collective gain in multimode optomechanics
T Kipf, GS Agarwal
Physical Review A 90 (5), 053808, 2014
292014
CompILE: Compositional imitation learning and execution
T Kipf, Y Li, H Dai, V Zambaldi, A Sanchez-Gonzalez, E Grefenstette, ...
International Conference on Machine Learning, 3418-3428, 2019
262019
Extraction of airways using graph neural networks
R Selvan, T Kipf, M Welling, JH Pedersen, J Petersen, M de Bruijne
arXiv preprint arXiv:1804.04436, 2018
20*2018
Estimating cardinalities with deep sketches
A Kipf, D Vorona, J Müller, T Kipf, B Radke, V Leis, P Boncz, T Neumann, ...
Proceedings of the 2019 International Conference on Management of Data, 1937 …, 2019
162019
Plannable approximations to MDP homomorphisms: Equivariance under actions
E van der Pol, T Kipf, FA Oliehoek, M Welling
arXiv preprint arXiv:2002.11963, 2020
152020
Image-conditioned graph generation for road network extraction
D Belli, T Kipf
arXiv preprint arXiv:1910.14388, 2019
132019
Compositional imitation learning: Explaining and executing one task at a time
T Kipf, Y Li, H Dai, V Zambaldi, E Grefenstette, P Kohli, P Battaglia
arXiv preprint arXiv:1812.01483, 2018
112018
Graph Convolutional Networks
T Kipf
https://tkipf.github.io/graph-convolutional-networks/, 2016
82016
Deep learning with graph-structured representations
TN Kipf
University of Amsterdam, 2020
52020
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