6 citations · 11 across the 18 of their papers we have counts for
5 papers · 1 filter
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss +2
Graph Mamba, a powerful graph embedding technique, has emerged as a cornerstone in various domains, including bioinformatics, social networks, and recommendation systems. This surv…
Enhancing Internet of Things Security throughSelf-Supervised Graph Neural Networks
Safa Ben Atitallah, Maha Driss, Wadii Boulila +1
With the rapid rise of the Internet of Things (IoT), ensuring the security of IoT devices has become essential. One of the primary challenges in this field is that new types of att…
Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss +2
The abundance of complex and interconnected healthcare data offers numerous opportunities to improve prediction, diagnosis, and treatment. Graph-structured data, which includes ent…
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning
Safa Ben Atitallah, Maha Driss, Henda Ben Ghezala
Deep learning-based disease diagnosis applications are essential for accurate diagnosis at various disease stages. However, using personal data exposes traditional centralized lear…
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
Wadii Boulila, Maha Driss, Mohamed Al-Sarem +2
During the last decade, several research works have focused on providing novel deep learning methods in many application fields. However, few of them have investigated the weight i…