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LogSD: Detecting anomalies from system logs through self-supervised learning and frequency-based masking

LogShrink: Effective log compression by leveraging commonality and variability of log data

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs

Log-based Anomaly Detection with Deep Learning: How Far Are We?

LogGD: Detecting Anomalies from System Logs with Graph Neural Networks

Log-based Anomaly Detection Without Log Parsing

LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection

Onion: Identifying incident-indicating logs for cloud systems

Robust log-based anomaly detection on unstable log data

Identifying impactful service system problems via log analysis

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