Petar Velickovic

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 120

Top Venues

CoRR

LoG

NeurIPS

ICLR

Publications

Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic
Temporal Graph Rewiring with Expander Graphs. CoRR (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
Transformers meet Neural Algorithmic Reasoners. CoRR (2024)
Igor Sterner, Shiye Su, Petar Velickovic
Commute-Time-Optimised Graphs for GNNs. CoRR (2024)
Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic
The CLRS-Text Algorithmic Reasoning Language Benchmark. CoRR (2024)
Bruno Gavranovic, Paul Lessard, Andrew Dudzik, Tamara von Glehn, João G. M. Araújo, Petar Velickovic
Categorical Deep Learning: An Algebraic Theory of Architectures. CoRR (2024)
Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G. M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
Transformers need glasses! Information over-squashing in language tasks. CoRR (2024)
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. 2024 (2024)
Rishabh Jain, Petar Velickovic, Pietro Liò
Neural Priority Queues for Graph Neural Networks. CoRR (2023)
Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic
Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating. Mach. Learn. Sci. Technol. 4 (4) (2023)
Andrew Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Velickovic
Asynchronous Algorithmic Alignment with Cocycles. CoRR (2023)
Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic
Parallel Algorithms Align With Neural Execution. LoG (2023)
Danilo Numeroso, Davide Bacciu, Petar Velickovic
Dual Algorithmic Reasoning. CoRR (2023)
Danilo Numeroso, Davide Bacciu, Petar Velickovic
Dual Algorithmic Reasoning. ICLR (2023)
Vladimir V. Mirjanic, Razvan Pascanu, Petar Velickovic
Latent Space Representations of Neural Algorithmic Reasoners. LoG (2023)
Vladimir V. Mirjanic, Razvan Pascanu, Petar Velickovic
Latent Space Representations of Neural Algorithmic Reasoners. CoRR (2023)
Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
Neural Algorithmic Reasoning with Causal Regularisation. ICML (2023)
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR (2023)
Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer
Half-Hop: A graph upsampling approach for slowing down message passing. CoRR (2023)
Dulhan Hansaja Jayalath, Jonas Jürß, Petar Velickovic
Recursive Algorithmic Reasoning. CoRR (2023)
Andrew Joseph Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Velickovic
Asynchronous Algorithmic Alignment With Cocycles. LoG (2023)
Petar Velickovic
Everything is Connected: Graph Neural Networks. CoRR (2023)
Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer
Half-Hop: A graph upsampling approach for slowing down message passing. ICML (2023)
Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
How does over-squashing affect the power of GNNs? CoRR (2023)
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
TacticAI: an AI assistant for football tactics. CoRR (2023)
Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic
Parallel Algorithms Align with Neural Execution. CoRR (2023)
Jonas Jürß, Dulhan Hansaja Jayalath, Petar Velickovic
Recursive Algorithmic Reasoning. LoG (2023)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Velickovic, Sreenivas Gollapudi
Affinity-Aware Graph Networks. NeurIPS (2023)
Marco Pegoraro, Clémentine Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
Geometric Epitope and Paratope Prediction. CoRR (2023)
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
Neural Algorithmic Reasoning with Causal Regularisation. CoRR (2023)
Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth
Utility of Equivariant Message Passing in Cortical Mesh Segmentation. MIUA (2022)
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò
Learning Graph Search Heuristics. CoRR (2022)
Luca Beurer-Kellner, Martin T. Vechev, Laurent Vanbever, Petar Velickovic
Learning to Configure Computer Networks with Neural Algorithmic Reasoning. CoRR (2022)
Andreea Deac, Marc Lackenby, Petar Velickovic
Expander Graph Propagation. LoG (2022)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
Algorithmic Concept-Based Explainable Reasoning. AAAI (2022)
Danilo Numeroso, Davide Bacciu, Petar Velickovic
Learning heuristics for A. CoRR (2022)
Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
The CLRS Algorithmic Reasoning Benchmark. CoRR (2022)
Andreea Deac, Marc Lackenby, Petar Velickovic
Expander Graph Propagation. CoRR (2022)
Petar Velickovic
Message passing all the way up. CoRR (2022)
Euan Ong, Petar Velickovic
Learnable Commutative Monoids for Graph Neural Networks. LoG (2022)
Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
Continuous Neural Algorithmic Planners. CoRR (2022)
Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
Sheaf Neural Networks with Connection Laplacians. CoRR (2022)
Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
Reasoning-Modulated Representations. LoG (2022)
Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
The CLRS Algorithmic Reasoning Benchmark. ICML (2022)
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
A Generalist Neural Algorithmic Learner. LoG (2022)
Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth
Utility of Equivariant Message Passing in Cortical Mesh Segmentation. CoRR (2022)
Luca Beurer-Kellner, Martin T. Vechev, Laurent Vanbever, Petar Velickovic
Learning to Configure Computer Networks with Neural Algorithmic Reasoning. NeurIPS (2022)
Andrew Joseph Dudzik, Petar Velickovic
Graph Neural Networks are Dynamic Programmers. NeurIPS (2022)
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
A Generalist Neural Algorithmic Learner. CoRR (2022)
Euan Ong, Petar Velickovic
Learnable Commutative Monoids for Graph Neural Networks. CoRR (2022)
Andrew Dudzik, Petar Velickovic
Graph Neural Networks are Dynamic Programmers. CoRR (2022)
Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
Sheaf Neural Networks with Connection Laplacians. TAG-ML (2022)
Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Velickovic, Sreenivas Gollapudi
Affinity-Aware Graph Networks. CoRR (2022)
Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
Continuous Neural Algorithmic Planners. LoG (2022)
Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR (2022)
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rémi Munos, Petar Velickovic, Michal Valko
Large-Scale Representation Learning on Graphs via Bootstrapping. ICLR (2022)
Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò
Learning Graph Search Heuristics. LoG (2022)
Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Velickovic
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges. CoRR (2021)
Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Velickovic
Large-scale graph representation learning with very deep GNNs and self-supervision. CoRR (2021)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò
Algorithmic Concept-based Explainable Reasoning. CoRR (2021)
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Velickovic, Michal Valko
Bootstrapped Representation Learning on Graphs. CoRR (2021)
Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic
Persistent Message Passing. CoRR (2021)
Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
Neural Distance Embeddings for Biological Sequences. NeurIPS (2021)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Neural Algorithmic Reasoners are Implicit Planners. CoRR (2021)
Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
Reasoning-Modulated Representations. CoRR (2021)
Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Very Deep Graph Neural Networks Via Noise Regularisation. CoRR (2021)
Jessica B. Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Velickovic, Theophane Weber
On the role of planning in model-based deep reinforcement learning. ICLR (2021)
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
ETA Prediction with Graph Neural Networks in Google Maps. CIKM (2021)
Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
ETA Prediction with Graph Neural Networks in Google Maps. CoRR (2021)
Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
Advancing mathematics by guiding human intuition with AI. Nat. 600 (7887) (2021)
Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS (2021)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Neural Algorithmic Reasoners are Implicit Planners. NeurIPS (2021)
Petar Velickovic, Charles Blundell
Neural algorithmic reasoning. Patterns 2 (7) (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI (2021)
Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting
Relating Graph Neural Networks to Structural Causal Models. CoRR (2021)
Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
Neural Distance Embeddings for Biological Sequences. CoRR (2021)
Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò
Predicting Patient Outcomes with Graph Representation Learning. CoRR (2021)
Petar Velickovic, Charles Blundell
Neural Algorithmic Reasoning. CoRR (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial optimization and reasoning with graph neural networks. CoRR (2021)
Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
How to transfer algorithmic reasoning knowledge to learn new algorithms? CoRR (2021)
Alice Del Vecchio, Andreea Deac, Pietro Liò, Petar Velickovic
Neural message passing for joint paratope-epitope prediction. CoRR (2021)
Lovro Vrcek, Petar Velickovic, Mile Sikic
A step towards neural genome assembly. CoRR (2020)
Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
Neural Execution of Graph Algorithms. ICLR (2020)
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
Principal Neighbourhood Aggregation for Graph Nets. CoRR (2020)
Catalina Cangea, Petar Velickovic, Pietro Liò
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
Principal Neighbourhood Aggregation for Graph Nets. NeurIPS (2020)
Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
Pointer Graph Networks. CoRR (2020)
Stefan Spalevic, Petar Velickovic, Jovana J. Kovacevic, Mladen Nikolic
Hierachial Protein Function Prediction with Tails-GNNs. CoRR (2020)
Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
XLVIN: eXecuted Latent Value Iteration Nets. CoRR (2020)
Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
Pointer Graph Networks. NeurIPS (2020)
Jessica B. Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Velickovic, Théophane Weber
On the role of planning in model-based deep reinforcement learning. CoRR (2020)
Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm
Deep Graph Infomax. ICLR (Poster) (2019)
Alexander G. Rakowski, Petar Velickovic, Enrico Dall'Ara, Pietro Liò
ChronoMID - Cross-Modal Neural Networks for 3-D Temporal Medical Imaging Data. CoRR (2019)
Carlos Purves, Catalina Cangea, Petar Velickovic
The PlayStation Reinforcement Learning Environment (PSXLE). CoRR (2019)
Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm
Spatio-Temporal Deep Graph Infomax. CoRR (2019)
Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang
Drug-Drug Adverse Effect Prediction with Graph Co-Attention. CoRR (2019)
Andreea Deac, Petar Velickovic, Pietro Sormanni
Attentive Cross-Modal Paratope Prediction. J. Comput. Biol. 26 (6) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Petar Velickovic