With the rapid advancement and deployment of intelligent agents and artificial general
intelligence (AGI), a fundamental challenge for future networks is enabling efficient …

As a new paradigm in machine learning, self-supervised learning (SSL) is capable of
learning high-quality representations of complex data without relying on labels. In addition to …

Standigm ASK™ revolutionizes healthcare by addressing the critical challenge of identifying
pivotal target genes in disease mechanisms—a fundamental aspect of drug development …

Despite the emerging research on adversarial attacks against knowledge graph embedding
(KGE) models, most of them focus on white-box attack settings. However, white-box attacks …

Thanks to their remarkable denoising capabilities, diffusion models are increasingly being
employed as defensive tools to reinforce the security of other models, notably in purifying …

This paper describes security vulnerabilities when using SHACL for data validation in
knowledge graphs (KGs) and enhance security awareness in SHACL and KG technologies …