16 citations · 24 across the 7 of their papers we have counts for
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cs.SE2022
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
Hongcheng Guo, Yuhui Guo, Renjie Chen +7
Fully supervised log anomaly detection methods suffer the heavy burden of annotating massive unlabeled log data. Recently, many semi-supervised methods have been proposed to reduce…
cs.LG2022★ 16 cited
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
Hongcheng Guo, Xingyu Lin, Jian Yang +5
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps). Considering log data of variant domains, retraining the whole network fo…