167 citations · 397 across the 33 of their papers we have counts for
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cs.LG2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu, Ziyu Guan, Wei Zhao +2
Graph Neural Networks (GNNs) have become mainstream methods for solving the semi-supervised node classification problem. However, due to the uneven location distribution of labeled…
cs.CL2023★ 1 cited
Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions
Jie Zhao, Ziyu Guan, Wei Zhao +2
Recent works considering professional legal-linguistic style (PLLS) texts have shown promising results on the charge prediction task. However, unprofessional users also show an inc…
cs.LG2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning
Weigang Lu, Ziyu Guan, Wei Zhao +5
Pseudo Labeling is a technique used to improve the performance of semi-supervised Graph Neural Networks (GNNs) by generating additional pseudo-labels based on confident predictions…