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Papers matching “graph Laplacian” 44

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Euclid: Nonparametric point spread function field recovery through interpolation on a graph Laplacian
2020 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

N. Auricchio, J. Brinchmann, L. Conversi, L. Corcione, N. Fourmanoit, M. Frailis, +11 more

20

citations
Testing the presence of balanced and bipartite components in a sparse graph is QMA1-hard
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Massimiliano Incudini, Casper Gyurik, Riccardo Molteni, Vedran Dunjko

0

citations
A Systematic Review of Spectral Graph Methods for 5G Core Network Slicing: Methods, Architectures, and Future Research Directions
2025 International Journal on Advanced Computer Theory and Engineering review Computer Science Software-Defined Networks and 5G Open access

Emily L. Thompson, Karl Schneider, Alexei Petrov

0

citations
Weisfeiler-Leman and Graph Spectra
2023 Society for Industrial and Applied Mathematics eBooks conference-paper Mathematics Graph theory and applications Open access

Gaurav Rattan, Tim Seppelt

4

citations
Disentangling the Spectral Properties of the Hodge Laplacian: not all small Eigenvalues are Equal
2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

Vincent P. Grande, Michael T. Schaub

5

citations
Spectral properties for the Laplacian of a generalized Wigner matrix
2021 Random Matrices Theory and Application article Mathematics Random Matrices and Applications Open access

Rajat Subhra Hazra

6

citations
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Anomaly Detection Techniques and Applications Open access

Florian Frantzen, Michael T. Schaub

2

citations
Principled Latent Diffusion for Graphs via Laplacian Autoencoders
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antoine Siraudin, Christopher Morris

0

citations
Nonlinear spectral graph theory
2025 arXiv (Cornell University) preprint Mathematics Spectral Theory in Mathematical Physics Open access

Piero Deidda, Francesco Tudisco, Dong Zhang

0

citations
Large deviation principle for the norm of the Laplacian matrix of inhomogeneous Erdős-Rényi random graphs
2025 Electronic Journal of Probability article Mathematics Limits and Structures in Graph Theory Open access

Rajat Subhra Hazra, Frank den Hollander, Maarten Markering

1

citations
Weisfeiler-Leman, Graph Spectra, and Random Walks
2021 arXiv (Cornell University) preprint Mathematics Graph theory and applications Open access

Gaurav Rattan, Tim Seppelt

1

citations
Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics
2021 Solid Earth article Earth and Planetary Sciences Geological Modeling and Analysis Open access

Rahul Prabhakaran, Giovanni Bertotti, Janos Lajos Urai, David Smeulders

15

citations
Large deviation principle for the norm of the Laplacian matrix of inhomogeneous Erdős-Rényi random graphs
2023 arXiv (Cornell University) preprint Mathematics Random Matrices and Applications Open access

Rajat Subhra Hazra, Frank den Hollander, Maarten Markering

0

citations
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

0

citations
Ellipsoidal Embeddings of Graphs
2025 SIAM Journal on Applied Mathematics article Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

0

citations
Ellipsoidal embeddings of graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

0

citations
Signal processing on higher-order networks: Livin’ on the edge... and beyond
2021 Signal Processing article Computer Science Advanced Graph Neural Networks Open access

Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra

149

citations
Normal-Tangential Flow Response to Edge Truncation in Capacitated Networks
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

1

citations
Higher-order signal processing with the Dirac operator
2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Lucille Calmon, Michael T. Schaub, Ginestra Bianconi

8

citations
Signal Processing On Cell Complexes
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij

30

citations
Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra

14

citations
Signal processing on simplicial complexes
2021 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

3

citations
Finite Impulse Response Filters for Simplicial Complexes
2021 European Signal Processing Conference (EUSIPCO) conference-paper Computer Science Topological and Geometric Data Analysis Open access

Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert J. T. Leus

31

citations
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

1

citations
Signal Processing on Simplicial Complexes
2022 Understanding complex systems book-chapter Computer Science Topological and Geometric Data Analysis

Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

21

citations