Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...

Abstract: Learning contextual features such as interactions among various biological entities is vital for whole slide images (WSI)-based cancer diagnosis and prognosis. Graph-based methods have ...

Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

JACKSON, Miss. (WLBT) - C-Spire hosted its third annual Bytes and Bites networking event Tuesday. The event attracted hundreds of business and IT leaders who came to explore how other tech companies ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

How building knowledge management into industrial AI early, while blending the best of GenAI and logic systems, can improve performance and efficiencies.

SonicWall on Wednesday disclosed that an unauthorized party accessed firewall configuration backup files for all customers who have used the cloud backup service. "The files contain encrypted ...

Russian hackers' adoption of artificial intelligence (AI) in cyber attacks against Ukraine has reached a new level in the first half of 2025 (H1 2025), the country's State Service for Special ...