As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...

GATE Data Science Important Topics: GATE Data Science & Artificial Intelligence (DA) Important Topics cover the key areas that carry high weightage in the exam. These topics are selected based on the ...

GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...

GEFF is a specification for a file format for exchanging spatial graph data. It is not intended to be mutable, editable, chunked, or optimized for use in an application setting.

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

Abstract: Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph ...

Abstract: Empowered by their remarkable advantages, graph neural networks (GNN) serve as potent tools for embedding graph-structured data and finding applications across various domains. Particularly, ...