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cs.LG2022★ 1 cited
TrustAL: Trustworthy Active Learning using Knowledge Distillation
Beong-woo Kwak, Youngwook Kim, Yu Jin Kim +2
Active learning can be defined as iterations of data labeling, model training, and data acquisition, until sufficient labels are acquired. A traditional view of data acquisition is…
cs.LG2020★ 3 cited
Meta-path Free Semi-supervised Learning for Heterogeneous Networks
Shin-woo Park, Byung Jun Bae, Jinyoung Yeo +1
Graph neural networks (GNNs) have been widely used in representation learning on graphs and achieved superior performance in tasks such as node classification. However, analyzing h…