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DUBAI, 29th October, 2025 (WAM) -- The UAE Codes Day, celebrated annually on 29th October to mark the launch of the region’s first electronic government by His Highness Sheikh Mohammed bin Rashid Al ...

In this paper, we propose a disentangled contrastive learning method for recommendation, which explores latent factors underlying implicit intents for interactions. In particular, a graph structure ...

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Objective: This study investigates the alleviating effect of outdoor sports on learning burnout among university students, focusing on the mediating roles of social support and self-regulation ability ...

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 ...

Circular RNA (circRNA)–microRNA (miRNA) interactions (CMIs) play important roles in regulating gene expression, cell proliferation, and tumorigenesis. Accurate identification of CMIs is critical for ...

Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...

Introduction: Accurate defect detection in dissimilar metal welds (DMWs) remains a major challenge due to heterogeneous microstructures and imaging noise. Methods: In this study, we propose a novel ...