IEEE

Unifying Graph Contrastive Learning via Graph Message Augmentation

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 ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

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

Japan's $1trn Bet On The Climate Transition

Japan’s GX strategy is a broad, ambitious and well-financed transition plan that is designed to cut carbon emissions, improve ...

CodexField Officially Announces Its RWA Framework: Turning Content into Verifiable, Measurable, and Rewardable Real-World Assets

CodexField officially announced the launch of its Real-World Asset (RWA) framework for digital content and AI models — a groundbreaking initiative designed to transform creative output into verifiable ...
IEEE

Graph Learning Framework for Data Link Anomaly Detection

Abstract: The anomaly detection in data links aims to identify the state of the link during data transmission, which is a critical task for ensuring information transmission security. Most anomaly ...