IEEE

Multiscale Social Network Information Propagation Prediction Model Integrating Graph Attention Networks and Hypergraph Neural Networks

Abstract: Information diffusion prediction is a fundamental yet challenging task in social networks. Existing approaches typically focus on either microscopic or macroscopic prediction, but few ...
IEEE

Optimising Neural Networks with Fine-Grained Forward-Forward Algorithm: A Novel Backpropagation-Free Training Algorithm

Abstract: This paper introduces the Fine-Grained Forward-Forward Algorithm (FGFF), a novel backpropagation-free network training methodology that builds upon the foundational Forward-Forward algorithm ...