Latest Articles for Graph Neural Networks

A new approach to detect online fraud using graph technology.

GRNIX enhances understanding of gene networks linked to autoimmune diseases.

A new model combines homophily and social influence to analyze social networks.

New framework enhances predictions and uncertainty estimations in geographical data analysis.

Learn how to optimize feature space from graph data.

EUREKHA offers a fresh approach to spot cybercriminals in underground forums.

OffLight uses smart technology to improve traffic flow in busy cities.

A computer model improves predictions for cancer drug combinations, enhancing treatment plans.

Combining federated learning and GNNs for improved stroke assessment while ensuring patient privacy.

Addressing cyber-attacks on power grids using advanced detection methods.

A look at how Graph Neural Networks tackle complex problems in optimization.

ScaleNet improves graph analysis with innovative techniques for better node classification.

Researchers use machine learning to better visualize DNA structures in cells.

Graph neural networks help uncover patterns in quiver mutation for deeper mathematical insights.

Learn how dual graph approaches enhance data analysis and predictions.

A new model improves detection of fake news across various contexts.

New methods enhance GNNs using unique identifiers for better graph distinction.

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.