11 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 11 cited
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao, Quanyu Dai, Xiao Shen +4
Label scarcity in a graph is frequently encountered in real-world applications due to the high cost of data labeling. To this end, semi-supervised domain adaptation (SSDA) on graph…
cs.LG2021★ 11 cited
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs
Jiaren Xiao, Quanyu Dai, Xiaochen Xie +2
The high cost of data labeling often results in node label shortage in real applications. To improve node classification accuracy, graph-based semi-supervised learning leverages th…