Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network

Václav Snásel, Martin Stepnicka, Varun Ojha, Ponnuthurai Nagaratnam Suganthan, Ruobin Gao, Lingping Kong

Abstract: Highlights•We present an integrated fusion method for large-scale dataset classification.•We propose an integrated fusion of fuzzy learning and graph neural networks.•We propose sampling methods to address fuzzy rules exponentially explosion problem.•We propose adopting polynomial functions to simulate fitting prediction.•We experimentally justify the performance of the proposed model.