Contextual Graph Matching with Correlated Gaussian Features
Fuente:
arXiv
Guardado en:
| Autores principales: | Yarandi, Mohammad Hassan Ahmad, Ganassali, Luca |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Statistical-computational gap in multiple Gaussian graph alignment
por: Even, Bertrand, et al.
Publicado: (2025)
por: Even, Bertrand, et al.
Publicado: (2025)
The graph alignment problem: fundamental limits and efficient algorithms
por: Ganassali, Luca
Publicado: (2024)
por: Ganassali, Luca
Publicado: (2024)
Correlation detection in trees for planted graph alignment
por: Ganassali, Luca, et al.
Publicado: (2021)
por: Ganassali, Luca, et al.
Publicado: (2021)
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
por: Even, Mathieu, et al.
Publicado: (2024)
por: Even, Mathieu, et al.
Publicado: (2024)
What is a good matching of probability measures? A counterfactual lens on transport maps
por: De Lara, Lucas, et al.
Publicado: (2025)
por: De Lara, Lucas, et al.
Publicado: (2025)
Statistical limits of correlation detection in trees
por: Ganassali, Luca, et al.
Publicado: (2022)
por: Ganassali, Luca, et al.
Publicado: (2022)
Spectral Alignment of Correlated Gaussian matrices
por: Ganassali, Luca, et al.
Publicado: (2019)
por: Ganassali, Luca, et al.
Publicado: (2019)
Graph Random Features for Scalable Gaussian Processes
por: Zhang, Matthew, et al.
Publicado: (2025)
por: Zhang, Matthew, et al.
Publicado: (2025)
Competing Bandits in Decentralized Contextual Matching Markets
por: Parikh, Satush, et al.
Publicado: (2024)
por: Parikh, Satush, et al.
Publicado: (2024)
Graph Classification Gaussian Processes via Hodgelet Spectral Features
por: Alain, Mathieu, et al.
Publicado: (2024)
por: Alain, Mathieu, et al.
Publicado: (2024)
Graph-Conditional Flow Matching for Relational Data Generation
por: Scassola, Davide, et al.
Publicado: (2025)
por: Scassola, Davide, et al.
Publicado: (2025)
Contextual Directed Acyclic Graphs
por: Thompson, Ryan, et al.
Publicado: (2023)
por: Thompson, Ryan, et al.
Publicado: (2023)
Exploration via Feature Perturbation in Contextual Bandits
por: Yi, Seouh-won, et al.
Publicado: (2025)
por: Yi, Seouh-won, et al.
Publicado: (2025)
Time-Correlated Video Bridge Matching
por: Vasilev, Viacheslav, et al.
Publicado: (2025)
por: Vasilev, Viacheslav, et al.
Publicado: (2025)
GSTAM: Efficient Graph Distillation with Structural Attention-Matching
por: Rasti-Meymandi, Arash, et al.
Publicado: (2024)
por: Rasti-Meymandi, Arash, et al.
Publicado: (2024)
Contextual Tokenization for Graph Inverted Indices
por: Chakraborty, Pritish, et al.
Publicado: (2025)
por: Chakraborty, Pritish, et al.
Publicado: (2025)
Contextualized Messages Boost Graph Representations
por: Lim, Brian Godwin, et al.
Publicado: (2024)
por: Lim, Brian Godwin, et al.
Publicado: (2024)
Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations
por: Ahmed, Mohammed Zain Ali
Publicado: (2026)
por: Ahmed, Mohammed Zain Ali
Publicado: (2026)
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
por: Kursun, Olcay, et al.
Publicado: (2021)
por: Kursun, Olcay, et al.
Publicado: (2021)
Contextual Bandits with Stage-wise Constraints
por: Pacchiano, Aldo, et al.
Publicado: (2024)
por: Pacchiano, Aldo, et al.
Publicado: (2024)
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization
por: Li, Kevin, et al.
Publicado: (2025)
por: Li, Kevin, et al.
Publicado: (2025)
Efficient Contextual Bandits with Uninformed Feedback Graphs
por: Zhang, Mengxiao, et al.
Publicado: (2024)
por: Zhang, Mengxiao, et al.
Publicado: (2024)
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
por: Bicciato, Alessandro, et al.
Publicado: (2024)
por: Bicciato, Alessandro, et al.
Publicado: (2024)
Self Paced Gaussian Contextual Reinforcement Learning
por: Ardakani, Mohsen Sahraei, et al.
Publicado: (2026)
por: Ardakani, Mohsen Sahraei, et al.
Publicado: (2026)
Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features
por: Swiers, Rowan, et al.
Publicado: (2024)
por: Swiers, Rowan, et al.
Publicado: (2024)
From Distance Correlation to Multiscale Graph Correlation
por: Shen, Cencheng, et al.
Publicado: (2017)
por: Shen, Cencheng, et al.
Publicado: (2017)
Adaptive Bandit Algorithms for Contextual Matching Markets
por: Lin, Shiyun, et al.
Publicado: (2026)
por: Lin, Shiyun, et al.
Publicado: (2026)
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
por: Yu, Xi, et al.
Publicado: (2025)
por: Yu, Xi, et al.
Publicado: (2025)
PPFS: Predictive Permutation Feature Selection
por: Hassan, Atif, et al.
Publicado: (2021)
por: Hassan, Atif, et al.
Publicado: (2021)
Graph Distillation with Eigenbasis Matching
por: Liu, Yang, et al.
Publicado: (2023)
por: Liu, Yang, et al.
Publicado: (2023)
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
por: Wang, Haishan, et al.
Publicado: (2025)
por: Wang, Haishan, et al.
Publicado: (2025)
Feature-Wise Mixing for Mitigating Contextual Bias in Predictive Supervised Learning
por: Tomar, Yash Vardhan
Publicado: (2025)
por: Tomar, Yash Vardhan
Publicado: (2025)
Mechanistic Permutability: Match Features Across Layers
por: Balagansky, Nikita, et al.
Publicado: (2024)
por: Balagansky, Nikita, et al.
Publicado: (2024)
Active Context Selection Improves Simple Regret in Contextual Bandits
por: Shahverdikondori, Mohammad, et al.
Publicado: (2026)
por: Shahverdikondori, Mohammad, et al.
Publicado: (2026)
Efficient Graph Matching for Correlated Stochastic Block Models
por: Chai, Shuwen, et al.
Publicado: (2024)
por: Chai, Shuwen, et al.
Publicado: (2024)
SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
por: Kang, Inwon, et al.
Publicado: (2026)
por: Kang, Inwon, et al.
Publicado: (2026)
Graph Canonical Correlation Analysis
por: Park, Hongju, et al.
Publicado: (2025)
por: Park, Hongju, et al.
Publicado: (2025)
Contextual Feature Selection with Conditional Stochastic Gates
por: Sristi, Ram Dyuthi, et al.
Publicado: (2023)
por: Sristi, Ram Dyuthi, et al.
Publicado: (2023)
Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
por: Said, Anwar, et al.
Publicado: (2024)
por: Said, Anwar, et al.
Publicado: (2024)
Stationarity without mean reversion in improper Gaussian processes
por: Ambrogioni, Luca
Publicado: (2023)
por: Ambrogioni, Luca
Publicado: (2023)
Ejemplares similares
-
Statistical-computational gap in multiple Gaussian graph alignment
por: Even, Bertrand, et al.
Publicado: (2025) -
The graph alignment problem: fundamental limits and efficient algorithms
por: Ganassali, Luca
Publicado: (2024) -
Correlation detection in trees for planted graph alignment
por: Ganassali, Luca, et al.
Publicado: (2021) -
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
por: Even, Mathieu, et al.
Publicado: (2024) -
What is a good matching of probability measures? A counterfactual lens on transport maps
por: De Lara, Lucas, et al.
Publicado: (2025)