publications

2024

    2023

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      On the Expressive Power of Geometric Graph Neural Networks
      Chaitanya K Joshi*, Cristian Bodnar*, Simon V Mathis, and 2 more authors
      In International Conference on Machine Learning, 2023

    2022

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      Topological Deep Learning: Graphs, Complexes, Sheaves
      Cristian Bodnar
      PhD Thesis, University of Cambridge, 2022
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      Sheaf Attention Networks
      Federico Barbero, Cristian Bodnar, Haitz Sáez Ocáriz Borde, and 1 more author
      In NeurIPS 2022 Workshop on SymFmetry and Geometry in Neural Representations (Oral), 2022
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      Surfing on the Neural Sheaf
      Julian Suk*, Lorenzo Giusti*, Tamir Hemo*, and 3 more authors
      In NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
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      Sheaf Neural Networks with Connection Laplacians
      Federico Barbero, Cristian Bodnar, Haitz Sáez Ocáriz Borde, and 3 more authors
      In Topological, Algebraic and Geometric Learning Workshops, 2022
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      Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
      Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, and 2 more authors
      In Advances in Neural Information Processing Systems, 2022

    2021

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      Weisfeiler and Lehman Go Cellular: CW Networks
      Cristian Bodnar*, Fabrizio Frasca*, Nina Otter, and 4 more authors
      Advances in Neural Information Processing Systems, 2021
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      Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
      Cristian Bodnar*, Fabrizio Frasca*, Yuguang Wang*, and 4 more authors
      In International Conference on Machine Learning, 2021
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      Neural ODE Processes
      Alexander Norcliffe*, Cristian Bodnar*, Ben Day*, and 2 more authors
      In International Conference on Learning Representations, 2021
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      Deep Graph Mapper: Seeing Graphs through the Neural Lens
      Cristian Bodnar*, Cătălina Cangea*, and Pietro Liò
      Frontiers in Big Data, 2021
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      A metric space perspective on self-supervised policy adaptation
      Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, and 1 more author
      IEEE Robotics and Automation Letters, 2021

    2020

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      On Second Order Behaviour in Augmented Neural ODEs
      Alexander Norcliffe, Cristian Bodnar, Ben Day, and 2 more authors
      Advances in Neural Information Processing Systems, 2020
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      Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
      Cristian Bodnar, Adrian Li, Karol Hausman, and 2 more authors
      In Robotics: Science and Systems (Best Systems Paper Finalist), 2020
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      Proximal distilled evolutionary reinforcement learning
      Cristian Bodnar, Ben Day, and Pietro Lió
      In Proceedings of the AAAI Conference on Artificial Intelligence, 2020
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      The Role of Isomorphism Classes in Multi-Relational Datasets
      Vijja Wichitwechkarn*, Ben Day*, Cristian Bodnar*, and 2 more authors
      AAAI Workshop on Graphs and more Complex structures for Learning and Reasoning, 2020