Papers

• An agent-based model of the formation and evolution of common ground (2026)
  Mengbin Ye et al.
  3.45
• Generalizing Perron--Frobenius theory and eigenvector-based centralities to networks with complex edge weights (2026)
  Yu Tian and Mason A. Porter and Lucas B\"ottcher
  1.89
• Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data (2026)
  Ru Geng et al.
  1.78
• Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets (2025)
  Adrienne M. Propp et al.
  1.56
• Networks Multiscale Entropy Analysis (2025)
  Sebasti\'an Brzovic et al.
  1.44
• Quantum spatial best-arm identification via quantum walks (2025)
  Tomoki Yamagami et al.
  1.39
• Learning Latent Graph Geometry via Fixed-Point Schr\"odinger-Type Activation: A Theoretical Study (2025)
  Dmitry Pasechnyuk-Vilensky et al.
  1.28
• Discovery of Probabilistic Dirichlet-to-Neumann Maps on Graphs (2025)
  Adrienne M. Propp and Jonas A. Actor and Elise Walker and Houman Owhadi and Nathaniel Trask and Daniel M. Tartakovsky
  1.22
• The topological Dirac equation of networks and simplicial complexes (2021)
  Ginestra Bianconi
  —
• Exact and Approximate Mean First Passage Times on Trees and other Necklace Structures: a Local Equilibrium Approach (2021)
  Yanik-Pascal F\"orster et al.
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• Complex networks with complex weights (2022)
  Lucas B\"ottcher and Mason A. Porter
  —
• Zoo Guide to Network Embedding (2023)
  Anthony Baptista et al.
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• Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists (2023)
  R. Fioresi et al.
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• Analytic relationship of relative synchronizability to network structure and motifs (2023)
  Joseph T. Lizier et al.
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• Substitutional Alloying Using Crystal Graph Neural Networks (2023)
  Dario Massa et al.
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• Physics-Informed Graph Convolutional Networks: Towards a generalized framework for complex geometries (2023)
  Marien Chenaud et al.
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• Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding (2023)
  Noam Levi and Alon Beck and Yohai Bar-Sinai
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• A charge-preserving method for solving graph neural diffusion networks (2023)
  Lidia Aceto and Pietro Antonio Grassi
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• Mining higher-order triadic interactions (2024)
  Marta Niedostatek et al.
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• An information-geometric approach for network decomposition using the q-state Potts model (2024)
  Alexandre L. M. Levada
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• A review of graph neural network applications in mechanics-related domains (2024)
  Yingxue Zhao et al.
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• Matrix-weighted networks for modeling multidimensional dynamics (2024)
  Yu Tian et al.
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• Clustering-induced localization of quantum walks on networks (2024)
  Lucas B\"ottcher and Mason A. Porter
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• High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces (2024)
  Shihao Shao et al.
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