5 citations · 6 across the 6 of their papers we have counts for
6 papers
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention
Xinxing Zhou, Jiaqi Ye, Shubao Zhao +4
The exponential growth of multivariate time series data from sensor networks in domains like industrial monitoring and smart cities requires efficient and accurate forecasting mode…
A Hierarchical Scale-free Graph Generator under Limited Resources
Xiaorui Qi, Yanlong Wen, Xiaojie Yuan
Graph generation is one of the most challenging tasks in recent years, and its core is to learn the ground truth distribution hiding in the training data. However, training data ma…
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting
Xinxing Zhou, Jiaqi Ye, Shubao Zhao +6
In the context of global energy strategy, accurate natural gas demand forecasting is crucial for ensuring efficient resource allocation and operational planning. Traditional foreca…
Graffin: Stand for Tails in Imbalanced Node Classification
Xiaorui Qi, Yanlong Wen, Xiaojie Yuan
Graph representation learning (GRL) models have succeeded in many scenarios. Real-world graphs have imbalanced distribution, such as node labels and degrees, which leaves a critica…
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…
TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding
Zichen Liu, Xuyuan Liu, Yanlong Wen +3
ICD coding is designed to assign the disease codes to electronic health records (EHRs) upon discharge, which is crucial for billing and clinical statistics. In an attempt to improv…