4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks
Yiqiao Li, Jianlong Zhou, Yifei Dong +2
Graph neural networks (GNNs) have proven their efficacy in a variety of real-world applications, but their underlying mechanisms remain a mystery. To address this challenge and ena…
cs.NE2023★ 1 cited
A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
Farshid Keivanian, Raymond Chiong, Zongwen Fan
Predicting body fat can provide medical practitioners and users with essential information for preventing and diagnosing heart diseases. Hybrid machine learning models offer better…