Few-shot learning with graph neural networks G Victor, B Joan Proc. Int. Conf. Learn. Represent., 1-13, 2018 | 1101* | 2018 |
E (n) equivariant graph neural networks VG Satorras, E Hoogeboom, M Welling International conference on machine learning, 9323-9332, 2021 | 215 | 2021 |
E (n) Equivariant Normalizing Flows V Garcia Satorras, E Hoogeboom, F Fuchs, I Posner, M Welling Advances in Neural Information Processing Systems 34, 4181-4192, 2021 | 57* | 2021 |
Equivariant diffusion for molecule generation in 3d E Hoogeboom, VG Satorras, C Vignac, M Welling International Conference on Machine Learning, 8867-8887, 2022 | 54 | 2022 |
Neural enhanced belief propagation on factor graphs VG Satorras, M Welling International Conference on Artificial Intelligence and Statistics, 685-693, 2021 | 51 | 2021 |
Combining generative and discriminative models for hybrid inference VG Satorras, Z Akata, M Welling arXiv preprint arXiv:1906.02547, 2019 | 35* | 2019 |
The convolution exponential and generalized sylvester flows E Hoogeboom, V Garcia Satorras, J Tomczak, M Welling Advances in Neural Information Processing Systems 33, 18249-18260, 2020 | 22 | 2020 |
Few-shot learning with graph neural networks. arXiv 2017 V Garcia, J Bruna arXiv preprint arXiv:1711.04043, 0 | 11 | |
Multivariate time series forecasting with latent graph inference VG Satorras, SS Rangapuram, T Januschowski arXiv preprint arXiv:2203.03423, 2022 | 9 | 2022 |
E (n) equivariant graph neural networks (2021) VG Satorras, E Hoogeboom, M Welling arXiv preprint arXiv:2102.09844, 0 | 8 | |
Few-shot learning with graph neural networks. arXiv V Garcia, J Bruna arXiv preprint arXiv:1711.04043, 2017 | 7 | 2017 |
A study of joint graph inference and forecasting D Zügner, FX Aubet, VG Satorras, T Januschowski, S Günnemann, ... arXiv preprint arXiv:2109.04979, 2021 | 5 | 2021 |
Equivariant 3d-conditional diffusion models for molecular linker design I Igashov, H Stärk, C Vignac, VG Satorras, P Frossard, M Welling, ... arXiv preprint arXiv:2210.05274, 2022 | 3 | 2022 |
Control of a physical system based on inferred state VG Satorras, M Welling, V Fischer, Z Akata US Patent App. 16/804,820, 2020 | 1 | 2020 |
Method and apparatus using a graph neural network VG Satorras, E Hoogeboom, M Welling US Patent App. 17/649,297, 2022 | | 2022 |
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning F Wever, TA Keller, L Symul, V Garcia arXiv preprint arXiv:2106.15577, 2021 | | 2021 |
The Convolution Exponential E Hoogeboom, VG Satorras, JM Tomczak, M Welling matrix 1, 2, 0 | | |