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cs.LG2025
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting
Shiwei Guo, Ziang Chen, Yupeng Ma +2
The Transformer model has shown strong performance in multivariate time series forecasting by leveraging channel-wise self-attention. However, this approach lacks temporal constrai…
cs.LG2025
On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles
Ziang Chen, Qiao Zhang, Runzhong Wang
Graph neural networks (GNNs) have been widely used in graph-related contexts. It is known that the separation power of GNNs is equivalent to that of the Weisfeiler-Lehman (WL) test…
cs.LG2024
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Ziang Chen, Rong Ge
In this work, we study the mean-field flow for learning subspace-sparse polynomials using stochastic gradient descent and two-layer neural networks, where the input distribution is…