Petar Veličković
Petar Veličković
Research Scientist, DeepMind
Verified email at - Homepage
TitleCited byYear
Graph Attention Networks
P Veličković, G Cucurull, A Casanova, A Romero, P Liò, Y Bengio
6th International Conference on Learning Representations (ICLR 2018), 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
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
Towards Sparse Hierarchical Graph Classifiers
C Cangea*, P Veličković*, N Jovanović, T Kipf, P Liò
arXiv preprint arXiv:1811.01287, 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
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices
A Mathur, T Zhang, S Bhattacharya, P Veličković, L Joffe, ND Lane, ...
Proceedings of the 17th ACM/IEEE International Conference on Information …, 2018
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
Convolutional neural networks for mesh-based parcellation of the cerebral cortex
G Cucurull, K Wagstyl, A Casanova, P Veličković, E Jakobsen, ...
Attentive cross-modal paratope prediction
A Deac, P Veličković, P Sormanni
Journal of Computational Biology, 2018
Molecular multiplex network inference using Gaussian mixture hidden Markov models
P Veličković, P Liò
Journal of Complex Networks 4 (4), 561-574, 2015
Xflow: 1d-2d cross-modal deep neural networks for audiovisual classification
C Cangea, P Veličković, P Liò
arXiv preprint arXiv:1709.00572, 2017
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
Chronomid-cross-modal neural networks for 3-d temporal medical imaging data
AG Rakowski, P Veličković, E Dall'Ara, P Liò
arXiv preprint arXiv:1901.03906, 2019
Automatic Inference of Cross-Modal Connection Topologies for X-CNNs
L Karazija, P Veličković, P Liò
International Symposium on Neural Networks, 54-63, 2018
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
The resurgence of structure in deep neural networks
P Veličković
University of Cambridge, 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
Spatio-Temporal Deep Graph Infomax
FL Opolka*, A Solomon*, C Cangea, P Veličković, P Liò, RD Hjelm
arXiv preprint arXiv:1904.06316, 2019
Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders
M Peychev, P Veličković, P Liò
arXiv preprint arXiv:1711.09159, 2017
Viral: Real-world competing process simulations on multiplex networks
P Veličković, A Ivašković, S Lau, M Stanojević
Belgrade BioInformatics Conference 2016, 102, 2017
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