Latest Articles for Graph Neural Networks

GSN combines dictionary learning and graph techniques for improved medical image classification.

LSM-GNN enhances multi-GPU training for large-scale graph neural networks.

A new model enhances battery range predictions for electric bikes.

New framework enhances node categorization in text-attributed graphs with limited data.

GraphTP enhances graph learning through improved data strategies.

A new model improves graph processing by addressing key GNN challenges.

Research focuses on enhancing NCM materials in lithium-ion batteries through advanced doping techniques.

New pipeline improves particle tracking at the LHC using GNNs.

A new method improves age prediction using facial features and graph neural networks.

Discover how graph recommender systems and contrastive learning enhance personalized suggestions.

SinLG improves chatbot conversations by integrating background knowledge for better response selection.

scTransNet framework improves understanding of gene interactions using single-cell RNA data.

A novel approach to enhance predictions in dynamic graphs using Transformers.

A look at a new method for sharing information focused on meaning.

New framework allows for efficient removal of sensitive data from Graph Neural Networks.

Using data attribution methods to improve particle physics analysis at LHC.

A new method enhances learning from graphs despite data noise.

A new model improves predictions of where proteins bind, aiding drug discovery.

A new method enhances the protection of IC designs through efficient watermarking.

New method enhances Graph Neural Network training efficiency and accuracy.

A new method enhances EEG analysis for better detection of Parkinson's disease.

A new method aims to enhance recommendations in changing data environments.

A new framework enhances traffic speed predictions using contextual data.

A new method uses graph neural networks to improve graph coloring efficiency.

New methods enhance the accuracy of in-body nanodevices based on individual characteristics.

New GNN models enhance molecular representation for better predictions in science.

This article discusses a new method for enhancing recommendations despite noisy data.

Research on using Graph Neural Networks for efficient power grid state estimation.

GATH enhances knowledge graph completion using advanced attention mechanisms for better accuracy.

Explore advanced forecasting techniques for futures trading using machine learning.

A new framework enhances GNNs for better combinatorial optimization solutions.

Learn how subgraph queries enhance graph analysis and data predictions.

A new approach using graph neural networks improves graph coloring methods.

Swarm-Net enhances IoT security using SRAM and Graph Neural Networks.

This article discusses a new method for classifying graphs using basic structural features.

Exploring how GNNs can model interactions in complex systems.

ARPA enhances Visual Word Sense Disambiguation by integrating language and image processing techniques.

EggNet enhances particle tracking accuracy using evolving graph-based techniques.

A new GNN method offers faster evaluation of traffic policies for cities.

A new method improves GNN architecture design using insights from language models.