The rapid rise of edge AI, where models run locally on devices instead of relying on cloud data centers, improves speed, privacy, and cost-efficiency.

IoT paved the way for data-driven decision-making, and AI is now building on this foundation and taking it to higher levels. While IoT systems primarily collect and analyze existing data, AI goes ...

We propose a connectivity-based graph convolution network (cGCN) architecture for fMRI analysis. fMRI data are represented as the k-nearest neighbors graph based on the group functional connectivity, ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...