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Found 4 papers, 1 papers with code
Artificial Intelligence for Complex Network: Potential, Methodology and Application
Complex networks pervade various real-world systems, from the natural environment to human societies.
Diffusion Models for Time Series Applications: A Survey
Diffusion models, a family of generative models based on deep learning, have become increasingly prominent in cutting-edge machine learning research.
Graph Denoising with Framelet Regularizer
As graph data collected from the real world is merely noise-free, a practical representation of graphs should be robust to noise.
PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection
Defect detection is a basic and essential task in automatic parts production, especially for automotive engine precision parts.
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