Cristian Bodnar
Cited by
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Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
C Bodnar, F Frasca, YG Wang, N Otter, G Mont˙far, P Li˛, M Bronstein
ICML 2021, 2021
Weisfeiler and Lehman Go Cellular: CW Networks
C Bodnar, F Frasca, N Otter, YG Wang, P Li˛, G Mont˙far, M Bronstein
NeurIPS 2021, 2021
Variational autoencoders for cancer data integration: design principles and computational practice
N Simidjievski, C Bodnar, I Tariq, P Scherer, H Andres Terre, Z Shams, ...
Frontiers in genetics 10, 1205, 2019
On second order behaviour in augmented neural odes
A Norcliffe, C Bodnar, B Day, N Simidjievski, P Li˛
NeurIPS 2020, 2020
Quantile qt-opt for risk-aware vision-based robotic grasping
C Bodnar, A Li, K Hausman, P Pastor, M Kalakrishnan
Robotics: Science and Systems 2020 (Best Systems Paper Finalist), 2019
Neural ODE processes
A Norcliffe, C Bodnar, B Day, J Moss, P Li˛
ICLR 2021, 2021
Text to Image Synthesis Using Generative Adversarial Networks
C Bodnar
The University of Manchester, 2018
Proximal distilled evolutionary reinforcement learning
C Bodnar, B Day, P Liˇ
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3283-3290, 2020
Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in GNNs
C Bodnar, F Di Giovanni, BP Chamberlain, P Li˛, MM Bronstein
NeurIPS 2022, 2022
Deep Graph Mapper: Seeing Graphs through the Neural Lens
C Bodnar, C Cangea, P Li˛
Frontiers in Big Data, 2020
Simplicial attention networks
CWJ Goh, C Bodnar, P Lio
arXiv preprint arXiv:2204.09455, 2022
A metric space perspective on self-supervised policy adaptation
C Bodnar, K Hausman, G Dulac-Arnold, R Jonschkowski
IEEE Robotics and Automation Letters 6 (3), 4329-4336, 2021
Sheaf Neural Networks with Connection Laplacians
F Barbero, C Bodnar, HS de Ocßriz Borde, M Bronstein, P Veličković, ...
Topological, Algebraic and Geometric Learning Workshops 2022, 28-36, 2022
Sheaf attention networks
F Barbero, C Bodnar, HS de Ocßriz Borde, P Lio
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
On the Expressive Power of Geometric Graph Neural Networks
CK Joshi, C Bodnar, SV Mathis, T Cohen, P Li˛
arXiv preprint arXiv:2301.09308, 2023
Graph neural diffusion
B Chamberlain, C Bodnar, F Di Giovanni, MM Bronstein
US Patent App. 17/650,219, 2022
Surfing on the Neural Sheaf
J Suk, L Giusti, T Hemo, M Lopez, K Barmpas, C Bodnar
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
The Role of Isomorphism Classes in Multi-Relational Datasets
V Wichitwechkarn, B Day, C Bodnar, M Wales, P Li˛
arXiv preprint arXiv:2009.14593, 2020
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