Open access
Jul 2026
Feature Mining and Node Prediction for Complex Correlation Datasets Based on Graph Neural Networks
A multi-layer graph convolution feature mining model with adaptive neighbor aggregation, aiming at the problems of incomplete feature extraction and weak topological dependency perception in traditional GNNs for complex correlation datasets is proposed.
Wenhao Xu
· Journal of Intelligence and... · 0 citations