Path optimization for balanced allocation of educational resources based on graph neural networks
This study provides a novel datadriven paradigm for the equitable allocation and dynamic flow of resources within the framework of smart education by proposing an End-to-End Balanced Scheduling Model Based on Heterogeneous Graph Attention Encoding and Proximal Policy Decoding.
Shi-Y. Shen
· International Conference on... · 0 citations