4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations
Zichuan Liu, Yingying Zhang, Tianchun Wang +8
Explaining multivariate time series is a compound challenge, as it requires identifying important locations in the time series and matching complex temporal patterns. Although prev…
cs.LG2023★ 4 cited
DyExplainer: Explainable Dynamic Graph Neural Networks
Tianchun Wang, Dongsheng Luo, Wei Cheng +2
Graph Neural Networks (GNNs) resurge as a trending research subject owing to their impressive ability to capture representations from graph-structured data. However, the black-box…
cs.LG2023★ 1 cited
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang +1
Graph convolutional networks (GCNs) are \emph{discriminative models} that directly model the class posterior for semi-supervised classification of graph data. Whi…