TelecomTS is a new observability dataset from 5G networks that preserves absolute scale and supports multi-modal tasks, showing that current time series and language models struggle with abrupt noisy dynamics.
Graph neural network based root cause analysis using multivariate time-series kpis for wireless networks
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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AnomalyGen synthesizes realistic labeled log sequences from source code via Log-Oriented Control Flow Graphs and LLM CoT verification to boost F1 scores of 12 anomaly detection models on HDFS and Zookeeper.
Segmentedness is defined as the complement of edge density in the policy graph, with a sampling-based estimator requiring only 97 random node pairs for a 95% confidence interval of width ±0.2 independent of network size.
citing papers explorer
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TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
TelecomTS is a new observability dataset from 5G networks that preserves absolute scale and supports multi-modal tasks, showing that current time series and language models struggle with abrupt noisy dynamics.
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AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
AnomalyGen synthesizes realistic labeled log sequences from source code via Log-Oriented Control Flow Graphs and LLM CoT verification to boost F1 scores of 12 anomaly detection models on HDFS and Zookeeper.
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How segmented is my network?
Segmentedness is defined as the complement of edge density in the policy graph, with a sampling-based estimator requiring only 97 random node pairs for a 95% confidence interval of width ±0.2 independent of network size.