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cs.LG2023★ 2 cited
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series
Jie Liu, Qilin Li, Senjian An +2
Transformer-based models for anomaly detection in multivariate time series can benefit from the self-attention mechanism due to its advantage in modeling long-term dependencies. Ho…
cs.LG2020
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Qilin Li, Wanquan Liu, Ling Li
Existing graph convolutional networks focus on the neighborhood aggregation scheme. When applied to semi-supervised learning, they often suffer from the overfitting problem as the…