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Graph‐based Bayesian network conditional normalizing flows for multiple time series anomaly detection

https://doi.org/10.1002/int.23027
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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CSRT rumor spreading model based on complex network
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Motif‐based embedding label propagation algorithm for community detection
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Enhancing Effectiveness of Outlier Detections for Low Density Patterns
inferredcites →https://doi.org/10.1007/s00500-022-07140-6openalex-snapshot
Unsupervised abnormal detection using VAE with memory
inferredcites →https://doi.org/10.1023/b:mach.0000008084.60811.49openalex-snapshot
Support Vector Data Description
inferredcites →https://doi.org/10.1109/cyswater.2016.7469060openalex-snapshot
SWaT: a water treatment testbed for research and training on ICS security
inferredcites →https://doi.org/10.1109/lra.2018.2801475openalex-snapshot
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder
inferredcites →https://doi.org/10.1109/tkde.2022.3174044openalex-snapshot
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs
inferredcites →https://doi.org/10.1145/3055366.3055375openalex-snapshot
WADI
inferredcites →https://doi.org/10.1145/3292500.3330672openalex-snapshot
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
inferredcites →https://doi.org/10.1145/335191.335388openalex-snapshot
LOF
inferredcites →https://doi.org/10.1145/3394486.3403392openalex-snapshot
USAD
inferredcites →https://doi.org/10.1145/3447548.3467075openalex-snapshot
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot
Graph Attention Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.2002.06103openalex-snapshot
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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5G-R Network KPIs Anomaly Detection Technology Based on DSTAD-R
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A Network Traffic Anomaly Detection Method Based on Shapelet and KNN
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MTAD-Kanformer: multivariate time-series anomaly detection via kan and transformer
inferred← citeshttps://doi.org/10.1007/s40747-023-01306-xopenalex-snapshot
An enhanced abnormal information expression spatiotemporal model for anomaly detection in multivariate time-series
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129056openalex-snapshot
Bridging the gap: An integrated approach to motif discovery and discord detection in time-series data
inferred← citeshttps://doi.org/10.1016/j.ress.2024.110554openalex-snapshot
Wind turbine fault detection and identification via self-attention-based dynamic graph representation learning and variable-level normalizing flow
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Diagnosis of Device Exception Based on Causality of Device Indicators
inferred← citeshttps://doi.org/10.1109/ddcls71227.2026.11610506openalex-snapshot
Masked Structural Decomposition with Time Frequency Consistency for Unsupervised Multivariate Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/jiot.2024.3439672openalex-snapshot
SGFM: Conditional Flow Matching for Time Series Anomaly Detection With State Space Models
inferred← citeshttps://doi.org/10.1109/wcnc61545.2025.10978548openalex-snapshot
Graphormer-Based Bayesian Network Conditional Normalizing Flow for Multivariate Time Series Anomaly Detection in Communication Networks
inferred← citeshttps://doi.org/10.26599/ijcs.2025.9100008openalex-snapshot
Trustworthy Evaluation Method for User Psychological Assessment Based on Large-Scale Heterogeneous Graph Networks
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Unraveling False Positives in Unsupervised Defect Detection Models: A Study on Anomaly-Free Training Datasets
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