Papers

• Deep ensemble graph neural networks for probabilistic cosmic-ray direction and energy reconstruction in autonomous radio arrays (2026)
  Ars\`ene Ferri\`ere and Aur\'elien Benoit-L\'evy and Olivier Martineau-Huynh and Mat\'ias Tueros
  1.67
• Graph Neural Networks for Interferometer Simulations (2025)
  Sidharth Kannan et al.
  1.56
• Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks (2025)
  Baimam Boukar Jean Jacques
  1.11
• Discovering Symbolic Models from Deep Learning with Inductive Biases (2020)
  Miles Cranmer et al.
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• The GCE in a New Light: Disentangling the $\gamma$-ray Sky with Bayesian Graph Convolutional Neural Networks (2020)
  Florian List et al.
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• Scalable Graph Networks for Particle Simulations (2020)
  Karolis Martinkus et al.
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• Unsupervised Resource Allocation with Graph Neural Networks (2021)
  Miles Cranmer (Princeton) et al.
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• Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy (2021)
  Tianshu Wang et al.
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• Inferring halo masses with Graph Neural Networks (2021)
  Pablo Villanueva-Domingo et al.
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• Weighing the Milky Way and Andromeda with Artificial Intelligence (2021)
  Pablo Villanueva-Domingo et al.
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• Rediscovering orbital mechanics with machine learning (2022)
  Pablo Lemos et al.
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• Learning cosmology and clustering with cosmic graphs (2022)
  Pablo Villanueva-Domingo et al.
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• Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube (2022)
  R. Abbasi et al.
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• Robust field-level inference with dark matter halos (2022)
  Helen Shao et al.
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• GraphNeT: Graph neural networks for neutrino telescope event reconstruction (2022)
  Andreas S{\o}gaard et al.
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• $\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees (2022)
  Christian Kragh Jespersen et al.
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• Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach (2023)
  Jadie Adams et al.
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• Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification (2024)
  Yasser Abduallah et al.
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• A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing (2024)
  Julia Balla et al.
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• Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks (2024)
  Nikhil Garuda et al.
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