Saved in:
| Main Authors: | Kar, Osman Furkan, Turhan, Gülce, Vural, Elif |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.13686 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Locally Stationary Graph Processes
by: Canbolat, Abdullah, et al.
Published: (2023)
by: Canbolat, Abdullah, et al.
Published: (2023)
A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation
by: Vural, Elif, et al.
Published: (2025)
by: Vural, Elif, et al.
Published: (2025)
Downlink Channel Covariance Matrix Estimation via Representation Learning with Graph Regularization
by: Zerin, Melih Can, et al.
Published: (2024)
by: Zerin, Melih Can, et al.
Published: (2024)
Pruning is Optimal for Learning Sparse Features in High-Dimensions
by: Vural, Nuri Mert, et al.
Published: (2024)
by: Vural, Nuri Mert, et al.
Published: (2024)
NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals
by: Patro, Badri N., et al.
Published: (2026)
by: Patro, Badri N., et al.
Published: (2026)
Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
by: Palit, Jewel Rana, et al.
Published: (2024)
by: Palit, Jewel Rana, et al.
Published: (2024)
Generative Kernel Spectral Clustering
by: Winant, David, et al.
Published: (2025)
by: Winant, David, et al.
Published: (2025)
Spectrally Transformed Kernel Regression
by: Zhai, Runtian, et al.
Published: (2024)
by: Zhai, Runtian, et al.
Published: (2024)
GNN-based Unified Deep Learning
by: Pala, Furkan, et al.
Published: (2025)
by: Pala, Furkan, et al.
Published: (2025)
AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
by: Zhang, Zhongyue, et al.
Published: (2026)
by: Zhang, Zhongyue, et al.
Published: (2026)
Learning to Recall with Transformers Beyond Orthogonal Embeddings
by: Vural, Nuri Mert, et al.
Published: (2026)
by: Vural, Nuri Mert, et al.
Published: (2026)
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
by: Pala, Furkan, et al.
Published: (2025)
by: Pala, Furkan, et al.
Published: (2025)
Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines
by: Hashimoto, Yuka, et al.
Published: (2024)
by: Hashimoto, Yuka, et al.
Published: (2024)
Spectral Anatomy of Quantum Gaussian Process Kernels
by: Xu, Jian, et al.
Published: (2026)
by: Xu, Jian, et al.
Published: (2026)
Kernel Semi-Implicit Variational Inference
by: Cheng, Ziheng, et al.
Published: (2024)
by: Cheng, Ziheng, et al.
Published: (2024)
Graph Contrastive Learning via Spectral Graph Alignment
by: Nguyen, Manh
Published: (2025)
by: Nguyen, Manh
Published: (2025)
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
by: Mostowsky, Peter, et al.
Published: (2024)
by: Mostowsky, Peter, et al.
Published: (2024)
Kernel Ridge Regression Inference
by: Singh, Rahul, et al.
Published: (2023)
by: Singh, Rahul, et al.
Published: (2023)
GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations
by: Kuzucu, Osman Onur, et al.
Published: (2026)
by: Kuzucu, Osman Onur, et al.
Published: (2026)
Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
by: Hasegawa, Yasushi, et al.
Published: (2026)
by: Hasegawa, Yasushi, et al.
Published: (2026)
Dual-Kernel Graph Community Contrastive Learning
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
Learning to Approximate Adaptive Kernel Convolution on Graphs
by: Sim, Jaeyoon, et al.
Published: (2024)
by: Sim, Jaeyoon, et al.
Published: (2024)
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
by: Vural, Onur, et al.
Published: (2024)
by: Vural, Onur, et al.
Published: (2024)
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
by: Ahmad, Tamim El, et al.
Published: (2023)
by: Ahmad, Tamim El, et al.
Published: (2023)
Simplifying Graph Kernels for Efficient
by: Wang, Lin, et al.
Published: (2025)
by: Wang, Lin, et al.
Published: (2025)
Graph Kernel Neural Networks
by: Cosmo, Luca, et al.
Published: (2021)
by: Cosmo, Luca, et al.
Published: (2021)
Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws
by: Arous, Gérard Ben, et al.
Published: (2025)
by: Arous, Gérard Ben, et al.
Published: (2025)
An Efficient Real Time DDoS Detection Model Using Machine Learning Algorithms
by: Suvra, Debashis Kar
Published: (2025)
by: Suvra, Debashis Kar
Published: (2025)
Asymmetric Learning for Spectral Graph Neural Networks
by: Liu, Fangbing, et al.
Published: (2024)
by: Liu, Fangbing, et al.
Published: (2024)
Heterogeneous Graph Contrastive Learning with Spectral Augmentation
by: Zhang, Jing, et al.
Published: (2024)
by: Zhang, Jing, et al.
Published: (2024)
Spectral Phase Encoding for Quantum Kernel Methods
by: Gómez, Pablo Herrero, et al.
Published: (2026)
by: Gómez, Pablo Herrero, et al.
Published: (2026)
Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences
by: Nanyonga, Aziida, et al.
Published: (2025)
by: Nanyonga, Aziida, et al.
Published: (2025)
Online Network Inference from Graph-Stationary Signals with Hidden Nodes
by: Buciulea, Andrei, et al.
Published: (2024)
by: Buciulea, Andrei, et al.
Published: (2024)
Learning Time-Varying Graphs from Incomplete Graph Signals
by: Peng, Chuansen, et al.
Published: (2025)
by: Peng, Chuansen, et al.
Published: (2025)
Spectral Kernel Dynamics for Planetary Surface Graphs: Distinction Dynamics and Topological Conservation
by: Das, Jnaneshwar
Published: (2026)
by: Das, Jnaneshwar
Published: (2026)
An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024)
by: Sejdinovic, Dino
Published: (2024)
No Generation without Representation: Efficient Causal Protein Language Models Enable Zero-Shot Fitness Estimation
by: Eris, Furkan
Published: (2026)
by: Eris, Furkan
Published: (2026)
Heterogeneous Attributed Graph Learning via Neighborhood-Aware Star Kernels
by: Huang, Hong, et al.
Published: (2025)
by: Huang, Hong, et al.
Published: (2025)
A Kernel Approach for Semi-implicit Variational Inference
by: Yu, Longlin, et al.
Published: (2026)
by: Yu, Longlin, et al.
Published: (2026)
Similar Items
-
Locally Stationary Graph Processes
by: Canbolat, Abdullah, et al.
Published: (2023) -
A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation
by: Vural, Elif, et al.
Published: (2025) -
Downlink Channel Covariance Matrix Estimation via Representation Learning with Graph Regularization
by: Zerin, Melih Can, et al.
Published: (2024) -
Pruning is Optimal for Learning Sparse Features in High-Dimensions
by: Vural, Nuri Mert, et al.
Published: (2024) -
NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals
by: Patro, Badri N., et al.
Published: (2026)