Image de couverture de livre

Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bozorgnia, Farid, Kungurtsev, Vyacheslav, Kadyrov, Shirali, Yousefnezhad, Mohsen
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Graph-Based Semi-Supervised Segregated Lipschitz Learning
par: Bozorgnia, Farid, et autres
Publié: (2024)

Optimal Control of Two-Phase Membrane Problem
par: Bozorgnia, Farid, et autres
Publié: (2024)

Improved Graph-based semi-supervised learning Schemes
par: Bozorgnia, Farid
Publié: (2024)

A Simple and Reproducible Hybrid Solver for a Truck-Drone VRP with Recharge
par: Meraliyev, Meraryslan, et autres
Publié: (2025)

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
par: Gholipour, Hamed, et autres
Publié: (2024)

Numerical Algorithms for Partially Segregated Elliptic Systems
par: Bozorgnia, Farid, et autres
Publié: (2026)

A Semi-Supervised Kernel Two-Sample Test
par: Lee, Gyumin, et autres
Publié: (2026)

Machine Learning Algorithms for Improving Exact Classical Solvers in Mixed Integer Continuous Optimization
par: Kimiaei, Morteza, et autres
Publié: (2025)

Probabilistic Iterative Hard Thresholding for Sparse Learning
par: Bergamaschi, Matteo, et autres
Publié: (2024)

Stochastic Langevin Differential Inclusions with Applications to Machine Learning
par: Difonzo, Fabio V., et autres
Publié: (2022)

"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning"
par: Kungurtsev, Vyacheslav, et autres
Publié: (2025)

Tame Riemannian Stochastic Approximation
par: Aspman, Johannes, et autres
Publié: (2023)

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
par: Hwang, Yoontae, et autres
Publié: (2024)

Machine Learning Algorithms for Improving Black Box Optimization Solvers
par: Kimiaei, Morteza, et autres
Publié: (2025)

Learning Generalized Hamiltonians using fully Symplectic Mappings
par: Choudhary, Harsh, et autres
Publié: (2024)

Semi-Supervised Learning on Graphs using Graph Neural Networks
par: Chen, Juntong, et autres
Publié: (2026)

On the solutions of second order difference equations with variable coefficients
par: Kadyrov, Shirali, et autres
Publié: (2021)

Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons
par: Kungurtsev, Vyacheslav, et autres
Publié: (2024)

Binarizing Physics-Inspired GNNs for Combinatorial Optimization
par: Krutský, Martin, et autres
Publié: (2025)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
par: Mostowsky, Peter, et autres
Publié: (2024)

Model-Change Active Learning in Graph-Based Semi-Supervised Learning
par: Miller, Kevin, et autres
Publié: (2021)

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
par: Morin, Sacha, et autres
Publié: (2026)

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
par: Chen, Zhuomin, et autres
Publié: (2024)

Graph-based Semi-Supervised Learning via Maximum Discrimination
par: Katz, Nadav, et autres
Publié: (2026)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
par: Xiao, Huaiyuan, et autres
Publié: (2025)

Fractionally Supervised Classification with Maxima Nominated Samples
par: Jozani, Mohammad Jafari, et autres
Publié: (2026)

Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
par: Anno, Soto, et autres
Publié: (2024)

Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
par: Tian, Senmao, et autres
Publié: (2025)

A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
par: Curtis, Frank E., et autres
Publié: (2023)

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
par: Cheruiyot, Kemboi, et autres
Publié: (2025)

In-Context Semi-Supervised Learning
par: Fan, Jiashuo, et autres
Publié: (2025)

Semi-Supervised Learning with Multi-Head Co-Training
par: Chen, Mingcai, et autres
Publié: (2021)

Graph Semi-Supervised Learning for Point Classification on Data Manifolds
par: Netto, Caio F. Deberaldini, et autres
Publié: (2025)

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
par: Zhong, Yan, et autres
Publié: (2025)

Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning
par: Kungurtsev, Vyacheslav, et autres
Publié: (2024)

Semi-Supervised Reward Modeling via Iterative Self-Training
par: He, Yifei, et autres
Publié: (2024)

From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
par: Wang, Zheng, et autres
Publié: (2023)

Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
par: Du, Ally Yalei, et autres
Publié: (2025)

Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
par: Yang, Hanxuan, et autres
Publié: (2024)

The Burden of Interactive Alignment with Inconsistent Preferences
par: Shirali, Ali
Publié: (2025)