ML Anthology

Veličković, Petar

63 publications

LoG 2025 Cayley Graph Propagation Jj Wilson, Maya Bechler-Speicher, Petar Veličković
ICML 2025 Mastering Board Games by External and Internal Planning with Language Models John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
ICML 2025 Positional Attention: Expressivity and Learnability of Algorithmic Computation Artur Back De Luca, George Giapitzakis, Shenghao Yang, Petar Veličković, Kimon Fountoulakis
ICLR 2025 Round and Round We Go! What Makes Rotary Positional Encodings Useful? Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković
ICML 2025 SoftMax Is Not Enough (for Sharp Size Generalisation) Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
ICML 2025 What Makes a Good Feedforward Computational Graph? Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Veličković
ICMLW 2024 Alignment of MPNNs and Graph Transformers Bao Nguyen, Anjana Yodaiken, Petar Veličković
ICMLW 2024 Asynchrony Invariance Loss Functions for Graph Neural Networks Pablo Monteagudo-Lago, Arielle Rosinski, Andrew Joseph Dudzik, Petar Veličković
ICMLW 2024 Commute-Time-Optimised Graphs for GNNs Igor Sterner, Shiye Su, Petar Veličković
IJCAI 2024 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search 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
TMLR 2024 How Does Over-Squashing Affect the Power of GNNs? Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković
ICMLW 2024 Parallelising Differentiable Algorithms Removes the Scalar Bottleneck: A Case Study Euan Ong, Ferenc Huszár, Pietro Lio, Petar Veličković
ICML 2024 Position: Categorical Deep Learning Is an Algebraic Theory of All Architectures Bruno Gavranović, Paul Lessard, Andrew Joseph Dudzik, Tamara Von Glehn, João Guilherme Madeira Araújo, Petar Veličković
ICML 2024 Position: Topological Deep Learning Is the New Frontier for Relational Learning Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guowei Wei, Ghada Zamzmi
NeurIPSW 2024 SoftMax Is Not Enough (For Sharp Out-of-Distribution) Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
NeurIPSW 2024 SoftMax Is Not Enough (For Sharp Out-of-Distribution) Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
ICMLW 2024 Temporal Graph Rewiring with Expander Graphs Katarina Petrović, Shenyang Huang, Farimah Poursafaei, Petar Veličković
NeurIPS 2024 Transformers Need Glasses! Information Over-Squashing in Language Tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G.M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković
ICMLW 2024 Transformers Need Glasses! Information Over-Squashing in Language Tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Guilherme Madeira Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković
NeurIPS 2023 Affinity-Aware Graph Networks Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi
ICMLW 2023 Asynchronous Algorithmic Alignment with Cocycles Andrew Joseph Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Veličković
LoG 2023 Asynchronous Algorithmic Alignment with Cocycles Andrew Joseph Dudzik, Tamara Glehn, Razvan Pascanu, Petar Veličković
NeurIPSW 2023 Cayley Graph Propagation Jj Wilson, Petar Veličković
JMLR 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Veličković
ICLR 2023 Dual Algorithmic Reasoning Danilo Numeroso, Davide Bacciu, Petar Veličković
NeurIPSW 2023 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Tudor Berariu, Matej Balog, Gheorghe Comanici, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera Paredes, Laurent Orseau, Petar Veličković, Anurag Murty Naredla, Joonkyung Lee, Adam Zsolt Wagner, Doina Precup
NeurIPSW 2023 Geometric Epitope and Paratope Prediction Marco Pegoraro, Clémentine Dominé, Emanuele Rodolà, Petar Veličković, Andreea Deac
ICML 2023 Half-Hop: A Graph Upsampling Approach for Slowing Down Message Passing Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L Dyer
NeurIPSW 2023 How Does Over-Squashing Affect the Power of GNNs? Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković
LoG 2023 Latent Space Representations of Neural Algorithmic Reasoners Vladimir V Mirjanic, Razvan Pascanu, Petar Veličković
ICML 2023 Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković
LoG 2023 Parallel Algorithms Align with Neural Execution Valerie Engelmayer, Dobrik Georgiev Georgiev, Petar Veličković
LoG 2023 Recursive Algorithmic Reasoning Jonas Jürß, Dulhan Hansaja Jayalath, Petar Veličković
LoG 2022 A Generalist Neural Algorithmic Learner Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković
AAAI 2022 Algorithmic Concept-Based Explainable Reasoning Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
LoG 2022 Continuous Neural Algorithmic Planners Yu He, Petar Veličković, Pietro Lio, Andreea Deac
LoG 2022 Expander Graph Propagation Andreea Deac, Marc Lackenby, Petar Veličković
NeurIPSW 2022 Expander Graph Propagation Andreea Deac, Marc Lackenby, Petar Veličković
NeurIPSW 2022 Expander Graph Propagation Andreea Deac, Marc Lackenby, Petar Veličković
NeurIPS 2022 Graph Neural Networks Are Dynamic Programmers Andrew J Dudzik, Petar Veličković
ICLRW 2022 Graph Neural Networks Are Dynamic Programmers Andrew Dudzik, Petar Veličković
ICLR 2022 Large-Scale Representation Learning on Graphs via Bootstrapping Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L Dyer, Remi Munos, Petar Veličković, Michal Valko
LoG 2022 Learnable Commutative Monoids for Graph Neural Networks Euan Ong, Petar Veličković
LoG 2022 Learning Graph Search Heuristics Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Veličković, Zhitao Ying, Jure Leskovec, Pietro Lio
NeurIPS 2022 Learning to Configure Computer Networks with Neural Algorithmic Reasoning Luca Beurer-Kellner, Martin Vechev, Laurent Vanbever, Petar Veličković
ICLRW 2022 Message Passing All the Way up Petar Veličković
LoG 2022 Reasoning-Modulated Representations Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
ICLR 2022 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond Jonathan Godwin, Michael Schaarschmidt, Alexander L Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Veličković, James Kirkpatrick, Peter Battaglia
ICML 2022 The CLRS Algorithmic Reasoning Benchmark Petar Veličković, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
ICLRW 2021 Bootstrapped Representation Learning on Graphs Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Remi Munos, Petar Veličković, Michal Valko
IJCAI 2021 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
NeurIPS 2021 How to Transfer Algorithmic Reasoning Knowledge to Learn New Algorithms? Louis-Pascal Xhonneux, Andreea-Ioana Deac, Petar Veličković, Jian Tang
NeurIPS 2021 Neural Algorithmic Reasoners Are Implicit Planners Andreea-Ioana Deac, Petar Veličković, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
NeurIPS 2021 Neural Distance Embeddings for Biological Sequences Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò
ICLR 2021 On the Role of Planning in Model-Based Deep Reinforcement Learning Jessica B Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Veličković, Theophane Weber
ICLRW 2021 Persistent Message Passing Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Veličković
NeurIPSW 2020 A Step Towards Neural Genome Assembly Lovro Vrček, Petar Veličković, Mile Sikic
ICLR 2020 Neural Execution of Graph Algorithms Petar Veličković, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
NeurIPS 2020 Pointer Graph Networks Petar Veličković, Lars Buesing, Matthew Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
NeurIPS 2020 Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Veličković
NeurIPSW 2020 XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić
ICLR 2019 Deep Graph Infomax Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R Devon Hjelm
ICLR 2018 Graph Attention Networks Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio