30 citations · 31 across the 6 of their papers we have counts for
6 papers
Sync Without Guesswork: Incomplete Time Series Alignment
Ding Jia, Jingyu Zhu, Yu Sun +4
Multivariate time series alignment is critical for ensuring coherent analysis across variables, but missing values and timestamp inconsistencies make this task highly challenging.…
Learning Dependency Models for Subset Repair
Haoda Li, Jiahui Chen, Yu Sun +3
Inconsistent values are commonly encountered in real-world applications, which can negatively impact data analysis and decision-making. While existing research primarily focuses on…
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
Qijie Bai, Changli Nie, Haiwei Zhang +2
Heterogeneous graphs have attracted a lot of research interests recently due to the success for representing complex real-world systems. However, existing methods have two pain poi…
An Efficient Loop and Clique Coarsening Algorithm for Graph Classification
Xiaorui Qi, Qijie Bai, Yanlong Wen +2
Graph Transformers (GTs) have made remarkable achievements in graph-level tasks. However, most existing works regard graph structures as a form of guidance or bias for enhancing no…
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction
Qijie Bai, Changli Nie, Haiwei Zhang +2
Temporal link prediction, aiming to predict future edges between paired nodes in a dynamic graph, is of vital importance in diverse applications. However, existing methods are main…
: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
Qijie Bai, Jiawen Guo, Haiwei Zhang +3
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving…