16 citations · 32 across the 6 of their papers we have counts for
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cs.LG2023★ 3 cited
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk
Jiafu Wu, Mufeng Yao, Dong Wu +6
Graph representation plays an important role in the field of financial risk control, where the relationship among users can be constructed in a graph manner. In practical scenarios…
cs.LG2022★ 7 cited
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Jintang Li, Ruofan Wu, Wangbin Sun +6
The last years have witnessed the emergence of a promising self-supervised learning strategy, referred to as masked autoencoding. However, there is a lack of theoretical understand…
cs.LG2022★ 4 cited
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees
ZhenZhe Ying, Zhuoer Xu, Zhifeng Li +2
Despite the success of deep learning in computer vision and natural language processing, Gradient Boosted Decision Tree (GBDT) is yet one of the most powerful tools for application…