74 citations · 108 across the 6 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023★ 2 cited
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification
Jinlong Hu, Yangmin Huang, Shoubin Dong
Advanced deep learning methods, especially graph neural networks (GNNs), are increasingly expected to learn from brain functional network data and predict brain disorders. In this…
cs.LG2022★ 74 cited
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Kaiwen Tan, Weixian Huang, Xiaofeng Liu +2
Morphological attributes from histopathological images and molecular profiles from genomic data are important information to drive diagnosis, prognosis, and therapy of cancers. By…
cs.LG2021★ 2 cited
AEFE: Automatic Embedded Feature Engineering for Categorical Features
Zhenyuan Zhong, Jie Yang, Yacong Ma +2
The challenge of solving data mining problems in e-commerce applications such as recommendation system (RS) and click-through rate (CTR) prediction is how to make inferences by con…