3 citations · 4 across the 3 of their papers we have counts for
4 papers
Reservoir-Based Graph Convolutional Networks
Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub +1
Message passing is a core mechanism in Graph Neural Networks (GNNs), enabling the iterative update of node embeddings by aggregating information from neighboring nodes. Graph Convo…
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
Mayssa Soussia, Yijun Lin, Mohamed Ali Mahjoub +1
Generative learning has advanced network neuroscience, enabling tasks like graph super-resolution, temporal graph prediction, and multimodal brain graph fusion. However, current me…
Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik
The generation of connectional brain templates (CBTs) has recently garnered significant attention for its potential to identify unique connectivity patterns shared across individua…
A Review on Image- and Network-based Brain Data Analysis Techniques for Alzheimer's Disease Diagnosis Reveals a Gap in Developing Predictive Methods for Prognosis
Mayssa Soussia, Islem Rekik
Unveiling pathological brain changes associated with Alzheimer's disease (AD) is a challenging task especially that people do not show symptoms of dementia until it is late. Over t…