Thomas Kipf

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	All	Since 2015
Citations	7756	7740
h-index	12	12
i10-index	13	13

3900

1950

975

2925

2017201820192020194 833 2803 3845

Co-authors

Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Nicola De CaoPhD at University of Amsterdam and The University of EdinburghVerified email at uva.nl
Rianne van den BergResearch Scientist, Google BrainVerified email at google.com
Ivan TitovUniversity of Edinburgh / University of AmsterdamVerified email at inf.ed.ac.uk
Peter BloemVrije Universiteit AmsterdamVerified email at peterbloem.nl
Jakub M. TomczakAssistant Professor at Vrije Universiteit AmsterdamVerified email at vu.nl
Tim R. DavidsonAiconicVerified email at aiconic.com
Andreas KipfMITVerified email at mit.edu
Bernhard RadkeTU MünchenVerified email at in.tum.de
Peter BonczProfessor, VU University Amsterdam & CWIVerified email at cwi.nl
Viktor LeisFriedrich Schiller University JenaVerified email at uni-jena.de
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Ethan FetayaBar-Ilan UniversityuVerified email at biu.ac.il
Kuan-Chieh WangUniversity of TorontoVerified email at utoronto.ca
Petar VeličkovićResearch Scientist, DeepMindVerified email at google.com
Cătălina CangeaPhD student, University of CambridgeVerified email at cst.cam.ac.uk
Edward GrefenstetteResearch Scientist, Facebook AI Research; Honorary Associate Professor, UCLVerified email at fb.com
Pushmeet KohliDeepMindVerified email at google.com
Vinicius ZambaldiGoogle DeepmindVerified email at google.com
Peter BattagliaResearch Scientist, DeepMindVerified email at google.com

Thomas Kipf

Research Scientist, Google Brain

Verified email at google.com - Homepage

Machine Learning Deep Learning Graph Neural Networks


Title Sort by citations Sort by year Sort by 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	5315	2016
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	775	2017
Variational Graph Auto-Encoders TN Kipf, M Welling NeurIPS Workshop on Bayesian Deep Learning (NeurIPS-16 BDL), 2016	632	2016
Graph convolutional matrix completion R Berg, TN Kipf, M Welling KDD Deep Learning Day (KDD-18 DLD), 2017	233	2017
MolGAN: An implicit generative model for small molecular graphs N De Cao, T Kipf ICML Workshop on Theoretical Foundations and Applications of Deep …, 2018	213	2018
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	209	2018
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	121	2018
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	92	2018
Towards Sparse Hierarchical Graph Classifiers C Cangea, P Veličković, N Jovanović, T Kipf, P Liò arXiv preprint arXiv:1811.01287, 2018	51	2018
Superradiance and collective gain in multimode optomechanics T Kipf, GS Agarwal Physical Review A 90 (5), 053808, 2014	28	2014
Contrastive learning of structured world models T Kipf, E van der Pol, M Welling arXiv preprint arXiv:1911.12247, 2019	26	2019
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	23*	2019
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	11*	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	8	2019
Graph Convolutional Networks T Kipf https://tkipf.github.io/graph-convolutional-networks/, 2016	7	2016
Object-Centric Learning with Slot Attention F Locatello*, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ... arXiv preprint arXiv:2006.15055, 2020	4	2020
Image-Conditioned Graph Generation for Road Network Extraction D Belli, T Kipf arXiv preprint arXiv:1910.14388, 2019	4	2019
Deep learning with graph-structured representations TN Kipf University of Amsterdam, 2020	3	2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions E van der Pol, T Kipf, FA Oliehoek, M Welling arXiv preprint arXiv:2002.11963, 2020	1	2020
A Modular Framework for Unsupervised Graph Representation Learning DFD Cruz, T Kipf, M Welling		2019

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