Abstract: The heterogeneous graph, as an effective representation of real-world data, encapsulates rich structural and semantic information. In recent years, numerous Heterogeneous Graph Neural ...
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...
Use create_go_graph_encoder_pipeline(unified_go_encoder=True/False) to choose architecture.
Abstract: The importance of fault diagnosis for safety and efficiency was enhanced by the intelligent transformation of industrial systems. To overcome the limitations of manual feature extraction in ...
Convolutional Autoencoder for Loop Closure. A fast deep learning architecture for robust SLAM loop closure, or any other place recognition tasks. Download our pre-trained model with ...
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