Papers

• Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion (2026)
  Arif D\"onmez et al.
  1.83
• Any-Dimensional Invariant Universality (2026)
  Shengtai Yao et al.
  1.83
• On Transferring Transferability: Towards a Theory for Size Generalization (2025)
  Eitan Levin et al.
  1.17
• The Generalized Skew Spectrum of Graphs (2025)
  Armando Bellante et al.
  1.17
• Permutation Equivariant Neural Networks for Symmetric Tensors (2025)
  Edward Pearce-Crump
  1.06
• Invariant Kernels: Rank Stabilization and Generalization Across Dimensions (2025)
  Mateo D\'iaz et al.
  1.00
• Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer (2022)
  William T. Ng et al.
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• A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations (2023)
  Bilal Chughtai et al.
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• Fast computation of permutation equivariant layers with the partition algebra (2023)
  Charles Godfrey et al.
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• Any-dimensional equivariant neural networks (2023)
  Eitan Levin and Mateo D\'iaz
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• Graph Automorphism Group Equivariant Neural Networks (2023)
  Edward Pearce-Crump et al.
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• The Signatures of Ideal Flow Networks (2024)
  Kardi Teknomo
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