23 citations · 26 across the 4 of their papers we have counts for
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cs.AI2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
Guangneng Hu, Qiang Yang
Transfer learning is an effective technique to improve a target recommender system with the knowledge from a source domain. Existing research focuses on the recommendation performa…
cs.LG2020★ 23 cited
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng, Jie Zhang, Yuxiao Dong +6
We study the problem of semi-supervised learning on graphs, for which graph neural networks (GNNs) have been extensively explored. However, most existing GNNs inherently suffer fro…