3 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu, Jianqiu Wu, Zhenghao Wu +4
Temporal graph link prediction aims to predict future interactions between nodes in a graph based on their historical interactions, which are encoded in node embeddings. We observe…
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
Shuhan Zhong, Weipeng Zhuo, Sizhe Song +3
Irregular multivariate time series (IMTS) is characterized by the lack of synchronized observations across its different channels. In this paper, we point out that this channel-wis…
M-Impute: Mask-guided Representation Learning for Missing Value Imputation
Zhongyi Yu, Zhenghao Wu, Shuhan Zhong +4
Missing values are a common problem that poses significant challenges to data analysis and machine learning. This problem necessitates the development of an effective imputation me…
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
Shuhan Zhong, Sizhe Song, Weipeng Zhuo +3
Time series data, including univariate and multivariate ones, are characterized by unique composition and complex multi-scale temporal variations. They often require special consid…