Image de couverture de livre

Rethinking Graph Super-resolution: Dual Frameworks for Topological Fidelity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Singh, Pragya, Rekik, Islem
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Strongly Topology-preserving GNNs for Brain Graph Super-resolution
par: Singh, Pragya, et autres
Publié: (2024)

FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
par: Sengupta, Prajit, et autres
Publié: (2025)

UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
par: Hassani, Atefe, et autres
Publié: (2024)

DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
par: Chen, Hao, et autres
Publié: (2025)

TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding
par: Wijesinghe, Achintha, et autres
Publié: (2025)

Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
par: Le, Hieu, et autres
Publié: (2023)

Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
par: Wang, Song, et autres
Publié: (2025)

The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials
par: Chen, Yao, et autres
Publié: (2025)

Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
par: Zhang, Kexin, et autres
Publié: (2024)

Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder
par: Li, Nan, et autres
Publié: (2024)

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI
par: Casali, Nicola, et autres
Publié: (2025)

Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
par: Smart, Mike, et autres
Publié: (2025)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
par: Zhang, Xiaoge, et autres
Publié: (2024)

PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
par: Jain, Sanyam, et autres
Publié: (2025)

Magnitude Is All You Need? Rethinking Phase in Quantum Encoding of Complex SAR Data
par: Gunasekar, Sakthi Prabhu, et autres
Publié: (2026)

From Load Tests to Live Streams: Graph Embedding-Based Anomaly Detection in Microservice Architectures
par: Madabhushi, Srinidhi, et autres
Publié: (2026)

Physics-Informed Neural Networks vs. Physics Models for Non-Invasive Glucose Monitoring: A Comparative Study Under Noise-Stressed Synthetic Conditions
par: Gani, Riyaadh
Publié: (2025)

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation
par: Daniali, Maryam, et autres
Publié: (2025)

A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
par: Dhankhar, Sakshi, et autres
Publié: (2025)

Pediatric Appendicitis Detection from Ultrasound Images
par: Hosseinabadi, Fatemeh, et autres
Publié: (2025)

Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers
par: Horton, Mark, et autres
Publié: (2025)

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
par: Yu, Xiaowei, et autres
Publié: (2025)

OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection
par: Pinon, Nicolas, et autres
Publié: (2025)

Federated learning in low-resource settings: A chest imaging study in Africa -- Challenges and lessons learned
par: Fabila, Jorge, et autres
Publié: (2025)

Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing
par: Ayers, Jacob Glenn, et autres
Publié: (2025)

Comparative Evaluation of Generative AI Models for Chest Radiograph Report Generation in the Emergency Department
par: Lim, Woo Hyeon, et autres
Publié: (2025)

A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
par: Zhang, Yipu, et autres
Publié: (2025)

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
par: Dhimish, Mahmoud
Publié: (2025)

Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving
par: Gutiérrez-Zaballa, Jon, et autres
Publié: (2025)

Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
par: Aghabagherloo, Alireza, et autres
Publié: (2025)

Left Atrial Segmentation with nnU-Net Using MRI
par: Hosseinabadi, Fatemeh, et autres
Publié: (2025)

Towards Deep Learning Surrogate for the Forward Problem in Electrocardiology: A Scalable Alternative to Physics-Based Models
par: Ogbomo-Harmitt, Shaheim, et autres
Publié: (2025)

Exploiting Temporal State Space Sharing for Video Semantic Segmentation
par: Hesham, Syed Ariff Syed, et autres
Publié: (2025)

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
par: Gabriel, Roy M., et autres
Publié: (2025)

Deep Generative Models for Enhanced Vitreous OCT Imaging
par: Sarrocco, Simone, et autres
Publié: (2025)

Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators
par: Mukhopadhyay, Payel, et autres
Publié: (2025)

Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture
par: Merizzi, Fabio, et autres
Publié: (2025)

Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning
par: Lee, SiYeoul, et autres
Publié: (2025)

Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization
par: Patil, Tanishq, et autres
Publié: (2025)

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
par: Liu, Mujie, et autres
Publié: (2025)