Search Results for author: Hande Dong

Found 4 papers, 4 papers with code

AutoDebias: Learning to Debias for Recommendation

1 code implementation10 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.

Imputation Meta-Learning +1

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation

1 code implementation23 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.

Node Classification Representation Learning

Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning

1 code implementation23 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.

Data Augmentation Graph Learning

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