Contextual Graph Matching with Correlated Gaussian Features
Fuente:
arXiv
Saved in:
| Main Authors: | Yarandi, Mohammad Hassan Ahmad, Ganassali, Luca |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Statistical-computational gap in multiple Gaussian graph alignment
by: Even, Bertrand, et al.
Published: (2025)
by: Even, Bertrand, et al.
Published: (2025)
The graph alignment problem: fundamental limits and efficient algorithms
by: Ganassali, Luca
Published: (2024)
by: Ganassali, Luca
Published: (2024)
Correlation detection in trees for planted graph alignment
by: Ganassali, Luca, et al.
Published: (2021)
by: Ganassali, Luca, et al.
Published: (2021)
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
by: Even, Mathieu, et al.
Published: (2024)
by: Even, Mathieu, et al.
Published: (2024)
What is a good matching of probability measures? A counterfactual lens on transport maps
by: De Lara, Lucas, et al.
Published: (2025)
by: De Lara, Lucas, et al.
Published: (2025)
Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)
by: Ganassali, Luca, et al.
Published: (2022)
Spectral Alignment of Correlated Gaussian matrices
by: Ganassali, Luca, et al.
Published: (2019)
by: Ganassali, Luca, et al.
Published: (2019)
Graph Random Features for Scalable Gaussian Processes
by: Zhang, Matthew, et al.
Published: (2025)
by: Zhang, Matthew, et al.
Published: (2025)
Competing Bandits in Decentralized Contextual Matching Markets
by: Parikh, Satush, et al.
Published: (2024)
by: Parikh, Satush, et al.
Published: (2024)
Graph Classification Gaussian Processes via Hodgelet Spectral Features
by: Alain, Mathieu, et al.
Published: (2024)
by: Alain, Mathieu, et al.
Published: (2024)
Graph-Conditional Flow Matching for Relational Data Generation
by: Scassola, Davide, et al.
Published: (2025)
by: Scassola, Davide, et al.
Published: (2025)
Contextual Directed Acyclic Graphs
by: Thompson, Ryan, et al.
Published: (2023)
by: Thompson, Ryan, et al.
Published: (2023)
Exploration via Feature Perturbation in Contextual Bandits
by: Yi, Seouh-won, et al.
Published: (2025)
by: Yi, Seouh-won, et al.
Published: (2025)
Time-Correlated Video Bridge Matching
by: Vasilev, Viacheslav, et al.
Published: (2025)
by: Vasilev, Viacheslav, et al.
Published: (2025)
GSTAM: Efficient Graph Distillation with Structural Attention-Matching
by: Rasti-Meymandi, Arash, et al.
Published: (2024)
by: Rasti-Meymandi, Arash, et al.
Published: (2024)
Contextual Tokenization for Graph Inverted Indices
by: Chakraborty, Pritish, et al.
Published: (2025)
by: Chakraborty, Pritish, et al.
Published: (2025)
Contextualized Messages Boost Graph Representations
by: Lim, Brian Godwin, et al.
Published: (2024)
by: Lim, Brian Godwin, et al.
Published: (2024)
Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations
by: Ahmed, Mohammed Zain Ali
Published: (2026)
by: Ahmed, Mohammed Zain Ali
Published: (2026)
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
by: Kursun, Olcay, et al.
Published: (2021)
by: Kursun, Olcay, et al.
Published: (2021)
Contextual Bandits with Stage-wise Constraints
by: Pacchiano, Aldo, et al.
Published: (2024)
by: Pacchiano, Aldo, et al.
Published: (2024)
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization
by: Li, Kevin, et al.
Published: (2025)
by: Li, Kevin, et al.
Published: (2025)
Efficient Contextual Bandits with Uninformed Feedback Graphs
by: Zhang, Mengxiao, et al.
Published: (2024)
by: Zhang, Mengxiao, et al.
Published: (2024)
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection
by: Bicciato, Alessandro, et al.
Published: (2024)
by: Bicciato, Alessandro, et al.
Published: (2024)
Self Paced Gaussian Contextual Reinforcement Learning
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
by: Ardakani, Mohsen Sahraei, et al.
Published: (2026)
Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features
by: Swiers, Rowan, et al.
Published: (2024)
by: Swiers, Rowan, et al.
Published: (2024)
From Distance Correlation to Multiscale Graph Correlation
by: Shen, Cencheng, et al.
Published: (2017)
by: Shen, Cencheng, et al.
Published: (2017)
Adaptive Bandit Algorithms for Contextual Matching Markets
by: Lin, Shiyun, et al.
Published: (2026)
by: Lin, Shiyun, et al.
Published: (2026)
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
by: Yu, Xi, et al.
Published: (2025)
by: Yu, Xi, et al.
Published: (2025)
PPFS: Predictive Permutation Feature Selection
by: Hassan, Atif, et al.
Published: (2021)
by: Hassan, Atif, et al.
Published: (2021)
Graph Distillation with Eigenbasis Matching
by: Liu, Yang, et al.
Published: (2023)
by: Liu, Yang, et al.
Published: (2023)
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
by: Wang, Haishan, et al.
Published: (2025)
by: Wang, Haishan, et al.
Published: (2025)
Feature-Wise Mixing for Mitigating Contextual Bias in Predictive Supervised Learning
by: Tomar, Yash Vardhan
Published: (2025)
by: Tomar, Yash Vardhan
Published: (2025)
Mechanistic Permutability: Match Features Across Layers
by: Balagansky, Nikita, et al.
Published: (2024)
by: Balagansky, Nikita, et al.
Published: (2024)
Active Context Selection Improves Simple Regret in Contextual Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2026)
by: Shahverdikondori, Mohammad, et al.
Published: (2026)
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024)
by: Chai, Shuwen, et al.
Published: (2024)
SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
by: Kang, Inwon, et al.
Published: (2026)
by: Kang, Inwon, et al.
Published: (2026)
Graph Canonical Correlation Analysis
by: Park, Hongju, et al.
Published: (2025)
by: Park, Hongju, et al.
Published: (2025)
Contextual Feature Selection with Conditional Stochastic Gates
by: Sristi, Ram Dyuthi, et al.
Published: (2023)
by: Sristi, Ram Dyuthi, et al.
Published: (2023)
Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
by: Said, Anwar, et al.
Published: (2024)
by: Said, Anwar, et al.
Published: (2024)
Stationarity without mean reversion in improper Gaussian processes
by: Ambrogioni, Luca
Published: (2023)
by: Ambrogioni, Luca
Published: (2023)
Similar Items
-
Statistical-computational gap in multiple Gaussian graph alignment
by: Even, Bertrand, et al.
Published: (2025) -
The graph alignment problem: fundamental limits and efficient algorithms
by: Ganassali, Luca
Published: (2024) -
Correlation detection in trees for planted graph alignment
by: Ganassali, Luca, et al.
Published: (2021) -
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
by: Even, Mathieu, et al.
Published: (2024) -
What is a good matching of probability measures? A counterfactual lens on transport maps
by: De Lara, Lucas, et al.
Published: (2025)