Search Results for author:
Found 2 papers, 1 papers with code
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
Recently, Transformer-based methods have achieved surprising performance in the field of long-term series forecasting, but the attention mechanism for computing global correlations entails high complexity.
Application of a Dynamic Line Graph Neural Network for Intrusion Detection With Semisupervised Learning
Experiments on 6 novel datasets demonstrate that our approach achieves 98. 15–99. 8% accuracy in abnormality detection with fewer labeled samples.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
