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https://doi.org/10.2139/ssrn.4670640

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

inferredcites →https://doi.org/10.1016/j.enbuild.2022.112635openalex-extracted
A knowledge embedded graph neural network-based cooling load prediction method using dynamic data association
inferredcites →https://doi.org/10.1109/access.2018.2794765openalex-extracted
Sequential Fault Diagnosis Based on LSTM Neural Network
inferredcites →https://doi.org/10.1109/access.2020.2972859openalex-extracted
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
inferredcites →https://doi.org/10.1109/access.2020.3034305openalex-extracted
An Intelligent Fault Diagnosis Scheme Using Transferred Samples for Intershaft Bearings Under Variable Working Conditions
inferredcites →https://doi.org/10.1109/icaic57335.2023.10044173openalex-extracted
Bearing Fault Diagnosis Based on Sparse Wavelet Decomposition and Sparse Graph Connection Using GraphSAGE
inferredcites →https://doi.org/10.1109/icdm54844.2022.00169openalex-extracted
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/icsmd53520.2021.9670851openalex-extracted
Rotating Machinery Fault Diagnosis Based on Spatial-Temporal GCN
inferredcites →https://doi.org/10.1109/iiai-aai.2018.00136openalex-extracted
A Personal Conversation Assistant Based on Seq2seq with Word2vec Cognitive Map
inferredcites →https://doi.org/10.1109/phm-jinan48558.2020.00064openalex-extracted
Open-circuit Fault Diagnosis Based on 1D-CNN for Three-phase Full-bridge Inverter
inferredcites →https://doi.org/10.1109/smc52423.2021.9658637openalex-extracted
Real-time Prediction of Highway Equipment Faults Based on GCN and GRU Algorithms
inferredcites →https://doi.org/10.1109/tcyb.2021.3059002openalex-extracted
Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge
inferredcites →https://doi.org/10.1109/tii.2022.3224988openalex-extracted
Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application
inferredcites →https://doi.org/10.1109/tim.2020.3048799openalex-extracted
Fault Diagnosis of Wind Turbine Gearbox Using a Novel Method of Fast Deep Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/tim.2021.3075016openalex-extracted
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
inferredcites →https://doi.org/10.1109/tits.2022.3156281openalex-extracted
AttGGCN Model: A Novel Multi-Sensor Fault Diagnosis Method for High-Speed Train Bogie
inferredcites →https://doi.org/10.1109/tnnls.2016.2551940openalex-extracted
Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/2736277.2741093openalex-extracted
LINE
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-extracted
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1149/10701.14931ecstopenalex-extracted
Fault Diagnosis of Rolling Element Bearing: A Review
inferredcites →https://doi.org/10.48550/arxiv.2102.06462openalex-extracted
inferredcites →https://doi.org/10.5555/1248547.1248632openalex-extracted
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
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