Dynamic edge-conditioned filters in convolutional neural networks on graphs M Simonovsky, N Komodakis 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 29-38, 2017 | 1440 | 2017 |
Large-scale point cloud semantic segmentation with superpoint graphs L Landrieu, M Simonovsky Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 1413 | 2018 |
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M Simonovsky, N Komodakis arXiv preprint arXiv:1802.03480, 2018 | 931 | 2018 |
A deep metric for multimodal registration M Simonovsky, B Gutiérrez-Becker, D Mateus, N Navab, N Komodakis Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 278 | 2016 |
DeeplyTough: Learning Structural Comparison of Protein Binding Sites M Simonovsky, J Meyers Journal of Chemical Information and Modeling 60 (4), 2356-2366, 2020 | 83 | 2020 |
Onionnet: Sharing features in cascaded deep classifiers M Simonovsky, N Komodakis arXiv preprint arXiv:1608.02728, 2016 | 10 | 2016 |
Automated expert-level scleral spur detection and quantitative biometric analysis on the anterion anterior segment OCT system K Bolo, GA Aroca, AA Pardeshi, M Chiang, B Burkemper, X Xie, ... British Journal of Ophthalmology, 2023 | 3 | 2023 |
Machine learning for protein binding sites J Meyers, M Segler, M Simonovsky US Patent App. 17/276,675, 2022 | | 2022 |
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M Simonovsky arXiv preprint arXiv:1901.08296, 2019 | | 2019 |