Papers

• Low rank matrix completion and realization of graphs: results and problems (2025)
  S. Dzhenzher et al.
  0.94
• Identifying the latent space geometry of network models through analysis of curvature (2020)
  Shane Lubold et al.
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• Non-Euclidean Self-Organizing Maps (2021)
  Dorota Celi\'nska-Kopczy\'nska et al.
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• Signal Processing on Cell Complexes (2021)
  T. Mitchell Roddenberry et al.
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• Geometric and Topological Inference for Deep Representations of Complex Networks (2022)
  Baihan Lin
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• Braid-based architecture search (2022)
  Olga Lukyanova and Oleg Nikitin and Alex Kunin
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• PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations (2022)
  Han Gao et al.
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• Graph Neural Networks and 3-Dimensional Topology (2023)
  Pavel Putrov and Song Jin Ri
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• Geometric deep learning approach to knot theory (2023)
  Lennart Jaretzki
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