Latest Articles for Graph Neural Networks

A hybrid framework improves failure prediction in complex systems.

A fresh approach enhances efficiency in tackling Maximum Weight Independent Set challenges.

scRegNet combines models to improve predictions of gene interactions.

Learn how to spread ideas through strategic influence in social networks.

New framework enhances natural language explanations for AI models, fostering user trust.

A look into the EIC's quest to reveal the secrets of protons and neutrons.

A new method improves data adaptation between different sources.

A new method enhances how computers interpret text using event-based learning.

Researchers use AI to predict decision-making in group scenarios.

New methods improve fluid flow simulations for oil, groundwater, and carbon storage.

New method improves confidence in GNN predictions significantly.

Discover how GraphAvatar is shaping realistic digital experiences.

Linking logic programming with neural networks for faster AI solutions.

Researchers unveil a powerful method to detect online misinformation effectively.

Discover how connections evolve over time in complex networks.

Discover how antimicrobial peptides might change the fight against antibiotic resistance.

Discover when Graph Attention Networks shine and when simpler methods prevail.

A new method enhances molecular analysis through pre-trained Graph Neural Networks.

Using GNNs to optimize shapes for improved efficiency and reduced noise.

Multi-view Fuzzy Graph Attention Networks improve understanding of complex data relationships.

Discover how edge filtration enhances graph neural networks for better data representation.

Discover how new techniques improve device positioning in wireless networks.

Learn how Graph Edit Distance helps compare complex structures efficiently.