Petar Velickovic

发表

Graph Attention Networks pdf

Pietro Liò, Yoshua Bengio, Petar Velickovic, 2017, ICLR.

The resurgence of structure in deep neural networks

Petar Velickovic, 2019 .

Combinatorial optimization and reasoning with graph neural networks

Elias Boutros Khalil, A. Lodi, Petar Velickovic, 2021, IJCAI.

Molecular multiplex network inference using Gaussian mixture hidden Markov models

Pietro Liò, Petar Velickovic, P. Lio’, 2015, J. Complex Networks.

ChronoMID—Cross-modal neural networks for 3-D temporal medical imaging data

Pietro Liò, Petar Velickovic, Enrico Dall'Ara, 2019, PloS one.

Affinity-Aware Graph Networks

Sreenivas Gollapudi, A. Sinop, Petar Velickovic, 2022, ArXiv.

Graph Neural Networks are Dynamic Programmers

Andrew Dudzik, Petar Velickovic, 2022, ArXiv.

G RAPH N EURAL N ETWORKS ARE D YNAMIC P ROGRAMMERS

Andrew Dudzik, Petar Velickovic, Dynamic Programmers, 2022 .

Sequence Analysis Parapred : Antibody Paratope Prediction using Convolutional and Recurrent Neural Networks

P. Lio’, Petar Velickovic, P. Sormanni, 2018 .

Affinity-Aware Graph Networks

Sreenivas Gollapudi, A. Sinop, Petar Velickovic, 2022, ArXiv.

Graph Neural Networks are Dynamic Programmers

Andrew Dudzik, Petar Velickovic, A. Dudzik, 2022, NeurIPS.

Scaling health analytics to millions without compromising privacy using deep distributed behavior models

Nicholas D. Lane, Petar Velickovic, Sourav Bhattacharya, 2017, PervasiveHealth.

Relating Graph Neural Networks to Structural Causal Models pdf

Kristian Kersting, Devendra Singh Dhami, Petar Velickovic, 2021, ArXiv.

Combinatorial optimization and reasoning with graph neural networks pdf

Andrea Lodi, Petar Velickovic, Elias Boutros Khalil, 2021, IJCAI.

Deep Graph Infomax pdf

Pietro Liò, Yoshua Bengio, William L. Hamilton, 2018, ICLR.

XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification

Pietro Liò, Cătălina Cangea, Petar Veličković, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Learning to Configure Computer Networks with Neural Algorithmic Reasoning

Martin T. Vechev, L. Vanbever, Petar Velickovic, 2022, NeurIPS.

Parapred: antibody paratope prediction using convolutional and recurrent neural networks

Pietro Liò, Michele Vendruscolo, Petar Velickovic, 2018, Bioinform..

Paratope Prediction using Convolutional and Recurrent Neural Networks

P. Lio’, M. Vendruscolo, Petar Velickovic, 2017, bioRxiv.

Advancing mathematics by guiding human intuition with AI

D. Hassabis, Lars Buesing, Pushmeet Kohli, 2021, Nature.

Attentive cross-modal paratope prediction

Petar Velickovic, Andreea Deac, Pietro Sormanni, 2018, J. Comput. Biol..

Everything is Connected: Graph Neural Networks

Petar Velickovic, 2023, Current opinion in structural biology.

Drug-Drug Adverse Effect Prediction with Graph Co-Attention pdf

Pietro Liò, Jian Tang, Petar Velickovic, 2019, ArXiv.

X-CNN: Cross-modal convolutional neural networks for sparse datasets

Pietro Liò, Duo Wang, Nicholas D. Lane, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types

Pietro Liò, Petar Veličković, P. Lio’, 2016, Bioinform..

Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating

O. Simeone, Petar Velickovic, L. Banchi, 2023, ArXiv.

On the role of planning in model-based deep reinforcement learning

Jessica B. Hamrick, Feryal M. P. Behbahani, A. Guez, 2020, ICLR.

Neural algorithmic reasoning

Charles Blundell, Petar Velickovic, C. Blundell, 2021, Patterns.

Towards Sparse Hierarchical Graph Classifiers pdf

Pietro Liò, Petar Velickovic, Thomas Kipf, 2018, ArXiv.

Principal Neighbourhood Aggregation for Graph Nets pdf

Dominique Beaini, Pietro Liò, Petar Velickovic, 2020, NeurIPS.

How to transfer algorithmic reasoning knowledge to learn new algorithms? pdf

Petar Velickovic, Andreea Deac, Louis-Pascal A. C. Xhonneux, 2021, NeurIPS.

Neural Execution of Graph Algorithms

R. Hadsell, C. Blundell, Petar Velickovic, 2019, ICLR.

Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating

O. Simeone, Petar Velickovic, L. Banchi, 2023, ArXiv.

Persistent Message Passing pdf

Charles Blundell, Petar Velickovic, Mohammadamin Barekatain, 2021, ArXiv.

Using Deep Data Augmentation Training to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices

Pietro Liò, Nicholas D. Lane, Fahim Kawsar, 2018, 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data

Pietro Liò, Nicholas D. Lane, Petar Velickovic, 2017, PervasiveHealth.

Multi-omics data integration using cross-modal neural networks

Hui Xiao, Petar Velickovic, Ioana Bica, 2018, ESANN.

Predicting Patient Outcomes with Graph Representation Learning pdf

Pietro Liò, Nicholas D. Lane, Petar Velickovic, 2021, ArXiv.

Scientific discovery in the age of artificial intelligence

Connor W. Coley, Pushmeet Kohli, J. Leskovec, 2023, Nature.

Dual Algorithmic Reasoning

D. Bacciu, Petar Velickovic, Danilo Numeroso, 2023, ICLR.

Learnable Commutative Monoids for Graph Neural Networks

Petar Velickovic, Euan Ong, 2022, LoG.

Learning heuristics for A

D. Bacciu, Petar Velickovic, Danilo Numeroso, 2022, ArXiv.

A step towards neural genome assembly

Petar Velivckovi'c, Lovro Vrvcek, Mile vSiki'c, 2020, ArXiv.

A step towards neural genome assembly pdf

Petar Velickovic, Mile Sikic, Lovro Vrcek, 2020, ArXiv.

Geometric Epitope and Paratope Prediction

E. Rodolà, Petar Velickovic, Andreea Deac, 2023, bioRxiv.

Everything is Connected: Graph Neural Networks

Petar Velivckovi'c, Petar Velickovic, 2023, Current opinion in structural biology.

Half-Hop: A graph upsampling approach for slowing down message passing

Eva L. Dyer, Petar Velickovic, Shantanu Thakoor, 2023, ICML.

Scientific discovery in the age of artificial intelligence

Connor W. Coley, Pushmeet Kohli, J. Leskovec, 2023, Nature.

Combinatorial optimization and reasoning with graph neural networks

Elias Boutros Khalil, Petar Velickovic, Quentin Cappart, 2021, IJCAI.

XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification

P. Lio’, Petar Velickovic, Cătălina Cangea, 2017, IEEE Transactions on Neural Networks and Learning Systems.

XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification

P. Lio’, Petar Velickovic, Cătălina Cangea, 2017, ArXiv.

Attentive cross-modal paratope prediction

Petar Velickovic, Andreea Deac, Pietro Sormanni, 2018, J. Comput. Biol..