1 code implementation • 23 Jun 2020 • Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi
In this work, we introduce a new understanding for it -- data augmentation, which is more transparent than the previous understandings.
1 code implementation • 23 Oct 2020 • Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
The original design of Graph Convolution Network (GCN) couples feature transformation and neighborhood aggregation for node representation learning.
1 code implementation • 10 May 2021 • Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
This provides a valuable opportunity to develop a universal solution for debiasing, e. g., by learning the debiasing parameters from data.
1 code implementation • 7 Oct 2020 • Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
This motivates us to provide a systematic survey of existing work on RS biases.