| Graph Attention Networks P Veličković, G Cucurull, A Casanova, A Romero, P Liò, Y Bengio 6th International Conference on Learning Representations (ICLR 2018), 2018 | 2892 | 2018 |
| Deep Graph Infomax P Veličković, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm 7th International Conference on Learning Representations (ICLR 2019), 2019 | 255* | 2019 |
| Towards Sparse Hierarchical Graph Classifiers C Cangea*, P Veličković*, N Jovanović, T Kipf, P Liò arXiv preprint arXiv:1811.01287, 2018 | 65 | 2018 |
| Parapred: antibody paratope prediction using convolutional and recurrent neural networks E Liberis, P Veličković, P Sormanni, M Vendruscolo, P Liò Bioinformatics 34 (17), 2944-2950, 2018 | 37 | 2018 |
| Neural Execution of Graph Algorithms P Veličković, R Ying, M Padovano, R Hadsell, C Blundell 8th International Conference on Learning Representations (ICLR 2020), 2020 | 27 | 2020 |
| X-CNN: Cross-modal convolutional neural networks for sparse datasets P Veličković, D Wang, ND Lane, P Liò 2016 IEEE symposium series on computational intelligence (SSCI), 1-8, 2016 | 26 | 2016 |
| Attentive cross-modal paratope prediction A Deac, P Veličković, P Sormanni Journal of Computational Biology, 2018 | 21 | 2018 |
| Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices A Mathur, T Zhang, S Bhattacharya, P Velickovic, L Joffe, ND Lane, ... 2018 17th ACM/IEEE International Conference on Information Processing in …, 2018 | 19* | 2018 |
| Deep learning for complete beginners: convolutional neural networks with keras P Veličković Retrieved from Data Science Course London: https://cambridgespark. com …, 2017 | 13 | 2017 |
| Principal Neighbourhood Aggregation for Graph Nets G Corso*, L Cavalleri*, D Beaini, P Liò, P Veličković arXiv preprint arXiv:2004.05718, 2020 | 12 | 2020 |
| Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data P Veličković, L Karazija, ND Lane, S Bhattacharya, E Liberis, P Liò, ... Proceedings of the 12th EAI International Conference on Pervasive Computing …, 2018 | 12 | 2018 |
| Convolutional neural networks for mesh-based parcellation of the cerebral cortex G Cucurull, K Wagstyl, A Casanova, P Veličković, E Jakobsen, ... 1st International Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018 | 12 | 2018 |
| XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification C Cangea, P Veličković, P Liò IEEE transactions on neural networks and learning systems, 2019 | 6* | 2019 |
| Drug-drug adverse effect prediction with graph co-attention A Deac, YH Huang, P Veličković, P Liò, J Tang arXiv preprint arXiv:1905.00534, 2019 | 6 | 2019 |
| Multi-omics data integration using cross-modal neural networks I Bica, P Veličković, H Xiao, P Liò Proceedings of the 26th European Symposium on Artificial Neural Networks …, 2018 | 5 | 2018 |
| Molecular multiplex network inference using Gaussian mixture hidden Markov models P Veličković, P Liò Journal of Complex Networks 4 (4), 561-574, 2016 | 4 | 2016 |
| Spatio-Temporal Deep Graph Infomax FL Opolka*, A Solomon*, C Cangea, P Veličković, P Liò, RD Hjelm arXiv preprint arXiv:1904.06316, 2019 | 3 | 2019 |
| Scaling health analytics to millions without compromising privacy using deep distributed behavior models P Veličković, ND Lane, S Bhattacharya, A Chieh, O Bellahsen, ... Proceedings of the 11th EAI International Conference on Pervasive Computing …, 2017 | 3 | 2017 |
| Xlvin: executed latent value iteration nets A Deac, P Veličković, O Milinković, PL Bacon, J Tang, M Nikolić arXiv preprint arXiv:2010.13146, 2020 | 2 | 2020 |
| ChronoMID—Cross-modal neural networks for 3-D temporal medical imaging data AG Rakowski, P Veličković, E Dall’Ara, P Liò PloS one 15 (2), e0228962, 2020 | 2 | 2020 |
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeVerified email at cam.ac.uk
