Imagen de Portada

FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chakraborty, Sujan, Bordoloi, Rahul, Sengupta, Anindya, Wolkenhauer, Olaf, Bej, Saptarshi
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning I.5.2
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision
por: Chakraborty, Sujan, et al.
Publicado: (2026)

Anomaly Detection via Mean Shift Density Enhancement
por: Kar, Pritam, et al.
Publicado: (2026)

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees
por: Bordoloi, Rahul, et al.
Publicado: (2025)

M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot Interaction
por: Hasan, Shaid, et al.
Publicado: (2026)

When Labels Have Structure: Improving Image Classification with Hierarchy-Aware Cross-Entropy
por: Chan, April, et al.
Publicado: (2026)

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
por: Poorna, Rajas, et al.
Publicado: (2026)

Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI
por: Sanyal, Prayas, et al.
Publicado: (2023)

Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation
por: Fa, Zhan, et al.
Publicado: (2024)

Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
por: Bordoloi, Rahul, et al.
Publicado: (2024)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
por: Xian, Zeqiang, et al.
Publicado: (2026)

Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation
por: Fossgaard, Eirik
Publicado: (1999)

Adaptive Riemannian Graph Neural Networks
por: Wang, Xudong, et al.
Publicado: (2025)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
por: Wang, Xudong, et al.
Publicado: (2025)

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings
por: Perera, Amal S., et al.
Publicado: (2025)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
por: Barnard, Amanda S
Publicado: (2026)

Plug In and Learn: Federated Intelligence over a Smart Grid of Models
por: Abdurakhmanova, S., et al.
Publicado: (2023)

From Linear to Spline-Based Classification:Developing and Enhancing SMPA for Noisy Non-Linear Datasets
por: Srivastava, Vatsal
Publicado: (2025)

A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion
por: Peng, Dehua, et al.
Publicado: (2023)

Context-Aware Network Based on Multi-scale Spatio-temporal Attention for Action Recognition in Videos
por: Li, Xiaoyang, et al.
Publicado: (2025)

SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
por: Bouzid, Hamza, et al.
Publicado: (2023)

Convexity-Driven Projection for Point Cloud Dimensionality Reduction
por: Sanyal, Suman
Publicado: (2025)

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
por: Alvarez, Sergio A.
Publicado: (2021)

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
por: Perazzolo, Diego, et al.
Publicado: (2025)

Evaluating Node-tree Interfaces for AI Explainability
por: Wang, Lifei, et al.
Publicado: (2025)

Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing
por: Yadav, Priyanshu
Publicado: (2025)

A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers
por: Aluvihare, Hansaka, et al.
Publicado: (2025)

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
por: Nishiyama, Daiki, et al.
Publicado: (2022)

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
por: Smits, William
Publicado: (2026)

Measurement Risk in Supervised Financial NLP: Rubric and Metric Sensitivity on JF-ICR
por: Chang, Sidi, et al.
Publicado: (2026)

EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
por: Xue, Taofeng, et al.
Publicado: (2026)

GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
por: Ding, Yiran, et al.
Publicado: (2026)

Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis
por: Cardei, Maria, et al.
Publicado: (2024)

Regularisation in neural networks: a survey and empirical analysis of approaches
por: Opperman, Christiaan P., et al.
Publicado: (2026)

Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
por: Perazzolo, Diego, et al.
Publicado: (2025)

FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies
por: Liang, Shuqiao, et al.
Publicado: (2025)

ViBED-Net: Video Based Engagement Detection Network Using Face-Aware and Scene-Aware Spatiotemporal Cues
por: Gothwal, Prateek, et al.
Publicado: (2025)

CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
por: Hong, Dasol, et al.
Publicado: (2025)

A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
por: Borah, Parashjyoti, et al.
Publicado: (2026)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
por: Alagoz, Celal
Publicado: (2024)

Masked Contrastive Pre-Training Improves Music Audio Key Detection
por: Yonay, Ori, et al.
Publicado: (2026)