24 citations · 62 across the 7 of their papers we have counts for
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cs.LG2022★ 24 cited
Data Imputation with Iterative Graph Reconstruction
Jiajun Zhong, Weiwei Ye, Ning Gui
Effective data imputation demands rich latent ``structure" discovery capabilities from ``plain" tabular data. Recent advances in graph neural networks-based data imputation solutio…
cs.LG2022★ 15 cited
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
Zhifeng Qiu, Wanxin Zeng, Dahua Liao +1
Feature selection is an important process in machine learning. It builds an interpretable and robust model by selecting the features that contribute the most to the prediction targ…
cs.LG2022★ 18 cited
Graph Representation Learning Beyond Node and Homophily
You Li, Bei Lin, Binli Luo +1
Unsupervised graph representation learning aims to distill various graph information into a downstream task-agnostic dense vector embedding. However, existing graph representation…