Latest Articles for Graph Neural Networks

DuSEGO improves GNNs by addressing over-smoothing and gradient issues.

A new method improves fraud detection efficiency and accuracy using Graph Neural Networks.

A new method enhances analysis of changing data over time.

Combining machine learning with fluid dynamics improves predictions and applications.

New methods can enhance air quality data from affordable sensors.

GECo enhances explainability in GNNs for better decision clarity.

Learn how to efficiently train graph neural networks with graph databases.

A new model helps scientists study Alzheimer's disease interactions.

Graph-aware Logistic Regression offers a simpler way to analyze data connections.

CAMP simplifies material simulations using Cartesian coordinates for better accuracy and efficiency.

A new model analyzes social media to identify LGBTQ+ minority stress.

A look into how GNNs analyze relationships in networks.

New strategies enhance GNN performance in multi-label node classification tasks.

Using AI to improve stability and security in power grids.

Learn how Gaussian Mixture Models enhance GNN performance through data augmentation.

A study presents a new method to predict harmful chemical effects on DNA.

A new framework enhances Graph Neural Networks' efficiency and performance.

Combining advanced techniques streamlines analog circuit design for better efficiency.

Researchers blend quantum computing and machine learning to analyze particle collision data effectively.

This study explores successful counterattacks in soccer through advanced data analysis.

Using GNNs to enhance gamma-ray observatories and filter cosmic rays.

Discover how machines combine tasks and learn from experience.

Gelato combines graph structure and learning to improve link prediction accuracy.

A new model improves understanding of complex data connections.

Using advanced technology to forecast heart issues from patient data.

Learn how ESCAPE is revolutionizing shape completion in 3D computer vision.

Learn how to improve Graph Neural Networks by correcting harmful data.

A new approach to enhance MILP solutions using graph neural networks.

EGA simplifies EEG data analysis, improving efficiency and accuracy.

Discover the rise of ChebGibbsNet in graph analysis and data connection.

Discover how graph transformers improve data analysis in large networks.

MERGE offers innovative solutions for predicting gene expression from tissue images.

Discover how machine learning fast-tracks protein property predictions in drug development.

Introducing methods that allow models to abstain from uncertain predictions.

Discover how ProtBoost is transforming protein function predictions in bioinformatics.

Dive into the world of graphs, hypergraphs, and neural networks.

Researchers enhance GNNs to improve predictions in complex data relationships.

Exploring the rivalry of knowledge graph models and their effectiveness.

Discover how RouteNet-Fermi improves network performance prediction using advanced modeling techniques.

Discover how GL-Fusion combines Graph Neural Networks and Large Language Models for advanced AI solutions.