Saved in:
| Main Authors: | Liao, Zhenyu, Xia, Yuanqian, Niu, Chengmei, Xiao, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2306.08489 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Angular Graph Fractional Fourier Transform: Theory and Application
by: Zhao, Feiyue, et al.
Published: (2025)
by: Zhao, Feiyue, et al.
Published: (2025)
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
by: Bianchi, Filippo Maria, et al.
Published: (2019)
by: Bianchi, Filippo Maria, et al.
Published: (2019)
How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models
by: Seddik, Mohamed El Amine
Published: (2026)
by: Seddik, Mohamed El Amine
Published: (2026)
Statistical Limits in Random Tensors with Multiple Correlated Spikes
by: Qi, Yang, et al.
Published: (2025)
by: Qi, Yang, et al.
Published: (2025)
Graph Alignment via Birkhoff Relaxation
by: Varma, Sushil Mahavir, et al.
Published: (2025)
by: Varma, Sushil Mahavir, et al.
Published: (2025)
Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
by: Zhang, Anderson Y., et al.
Published: (2022)
by: Zhang, Anderson Y., et al.
Published: (2022)
Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
by: Krishnagopal, Sanjukta
Published: (2026)
by: Krishnagopal, Sanjukta
Published: (2026)
SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression
by: Nogueira, Brenda, et al.
Published: (2025)
by: Nogueira, Brenda, et al.
Published: (2025)
Complex Interpolation of Matrices with an application to Multi-Manifold Learning
by: Arbel, Adi, et al.
Published: (2026)
by: Arbel, Adi, et al.
Published: (2026)
CatBOX: A Categorical-Continuous Bayesian Optimization with Spectral Mixture Kernels for Accelerated Catalysis Experiments
by: Zhao, Changquan, et al.
Published: (2025)
by: Zhao, Changquan, et al.
Published: (2025)
Centrality Graph Shift Operators for Graph Neural Networks
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation
by: Ren, Yiming, et al.
Published: (2026)
by: Ren, Yiming, et al.
Published: (2026)
A Spectral Approach for Learning Spatiotemporal Neural Differential Equations
by: Xia, Mingtao, et al.
Published: (2023)
by: Xia, Mingtao, et al.
Published: (2023)
A dual basis approach to multidimensional scaling
by: Lichtenberg, Samuel, et al.
Published: (2023)
by: Lichtenberg, Samuel, et al.
Published: (2023)
On the distance spectrum of the Kronecker product of distance regular graphs
by: Mondal, Priti Prasanna, et al.
Published: (2024)
by: Mondal, Priti Prasanna, et al.
Published: (2024)
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
by: Chun, Chanwoo, et al.
Published: (2024)
by: Chun, Chanwoo, et al.
Published: (2024)
Perturbation Bounds for Low-Rank Inverse Approximations under Noise
by: Tran, Phuc, et al.
Published: (2025)
by: Tran, Phuc, et al.
Published: (2025)
Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains
by: Loeffler, Shane E., et al.
Published: (2024)
by: Loeffler, Shane E., et al.
Published: (2024)
Multi-Community Spectral Clustering for Geometric Graphs
by: Allem, Luiz Emilio, et al.
Published: (2025)
by: Allem, Luiz Emilio, et al.
Published: (2025)
Debiasing Random Oblique Projections for Subsampled OLS and Fast CUR in High Dimensions
by: Niu, Chengmei, et al.
Published: (2026)
by: Niu, Chengmei, et al.
Published: (2026)
Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression
by: Song, Jiwoo, et al.
Published: (2024)
by: Song, Jiwoo, et al.
Published: (2024)
Kronecker Product of Tensors and Hypergraphs: Structure and Dynamics
by: Pickard, Joshua, et al.
Published: (2023)
by: Pickard, Joshua, et al.
Published: (2023)
Generative Myopia: Why Diffusion Models Fail at Structure
by: Siami, Milad
Published: (2025)
by: Siami, Milad
Published: (2025)
Geometric Scattering on Measure Spaces
by: Chew, Joyce, et al.
Published: (2022)
by: Chew, Joyce, et al.
Published: (2022)
Spectral Superposition: A Theory of Feature Geometry
by: Ivanov, Georgi, et al.
Published: (2026)
by: Ivanov, Georgi, et al.
Published: (2026)
Consistency of augmentation graph and network approximability in contrastive learning
by: Li, Chenghui, et al.
Published: (2025)
by: Li, Chenghui, et al.
Published: (2025)
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs
by: Faroughi, Salah A., et al.
Published: (2025)
by: Faroughi, Salah A., et al.
Published: (2025)
A Large-Dimensional Analysis of ESPRIT DoA Estimation: Inconsistency and a Correction via RMT
by: Wang, Zhengyu, et al.
Published: (2025)
by: Wang, Zhengyu, et al.
Published: (2025)
Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
by: Tran, Phuc, et al.
Published: (2025)
by: Tran, Phuc, et al.
Published: (2025)
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
by: Niu, Chengmei, et al.
Published: (2025)
by: Niu, Chengmei, et al.
Published: (2025)
On the Expressive Power of Spectral Invariant Graph Neural Networks
by: Zhang, Bohang, et al.
Published: (2024)
by: Zhang, Bohang, et al.
Published: (2024)
Leveraging advances in machine learning for the robust classification and interpretation of networks
by: Appaw, Raima Carol, et al.
Published: (2024)
by: Appaw, Raima Carol, et al.
Published: (2024)
Perturbative adaptive importance sampling for Bayesian LOO cross-validation
by: Chang, Joshua C, et al.
Published: (2024)
by: Chang, Joshua C, et al.
Published: (2024)
Shuffled Linear Regression via Spectral Matching
by: Liu, Hang, et al.
Published: (2024)
by: Liu, Hang, et al.
Published: (2024)
Grassmanian Interpolation of Low-Pass Graph Filters: Theory and Applications
by: Savostianov, Anton, et al.
Published: (2025)
by: Savostianov, Anton, et al.
Published: (2025)
SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation
by: Kapusuzoglu, Berkcan, et al.
Published: (2025)
by: Kapusuzoglu, Berkcan, et al.
Published: (2025)
Entrywise application of non-linear functions on orthogonally invariant matrices
by: Speicher, Roland, et al.
Published: (2024)
by: Speicher, Roland, et al.
Published: (2024)
On the Convergence of Hermitian Dynamic Mode Decomposition
by: Boullé, Nicolas, et al.
Published: (2024)
by: Boullé, Nicolas, et al.
Published: (2024)
Avoiding spectral pollution for transfer operators using residuals
by: Herwig, April, et al.
Published: (2025)
by: Herwig, April, et al.
Published: (2025)
Conformal Rigidity of Graphs: Subdifferentials and Orbit-Isometries
by: Niu, Andrew
Published: (2026)
by: Niu, Andrew
Published: (2026)
Similar Items
-
Angular Graph Fractional Fourier Transform: Theory and Application
by: Zhao, Feiyue, et al.
Published: (2025) -
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
by: Bianchi, Filippo Maria, et al.
Published: (2019) -
How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models
by: Seddik, Mohamed El Amine
Published: (2026) -
Statistical Limits in Random Tensors with Multiple Correlated Spikes
by: Qi, Yang, et al.
Published: (2025) -
Graph Alignment via Birkhoff Relaxation
by: Varma, Sushil Mahavir, et al.
Published: (2025)