Social media’s next evolution: user-controlled algorithms

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let users directly influence the algorithms powering their recommendations.
IEEE

Empirical Analysis of Approximate Message Passing Under non-I.I.D. Measurements with Comparison to State Evolution

Abstract: This paper investigates a denoiser design that enhances the robustness of approximate message passing (AMP) while retaining high estimation performance. The ...
IEEE

Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs

Abstract: Graph Neural Networks (GNNs) exhibit satisfactory performance on homophilic networks, where most edges connect two nodes with the same label. However, their effectiveness diminishes as the ...