Multi-scale adaptive graph neural network for multivariate time series forecasting
Multivariate time series (MTS) forecasting plays an important role in the automation and
optimization of intelligent applications. It is a challenging task, as we need to consider both …
optimization of intelligent applications. It is a challenging task, as we need to consider both …
Leveraging the fine-grained user preferences with graph neural networks for recommendation
G Wang, H Wang, J Liu, Y Yang - World Wide Web, 2023 - Springer
With the explosion of information, recommendation systems have become important for
users to find their interested information. Existing recommendation methods mainly utilize …
users to find their interested information. Existing recommendation methods mainly utilize …
TP-GCL: graph contrastive learning from the tensor perspective
M Li, L Meng, Z Ye, Y Yang, S Cao, Y Xiao… - Frontiers in …, 2024 - frontiersin.org
Graph Neural Networks (GNNs) have demonstrated significant potential as powerful tools for
handling graph data in various fields. However, traditional GNNs often encounter limitations …
handling graph data in various fields. However, traditional GNNs often encounter limitations …
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks
The exploration of Graph Neural Networks (GNNs) for processing graph-structured data has
expanded, particularly their potential for causal analysis due to their universal approximation …
expanded, particularly their potential for causal analysis due to their universal approximation …
融合内外依赖的人体骨架动作识别模型.
毛国君， 王一锦 - Journal of Computer Engineering & …, 2023 - search.ebscohost.com
基于动态骨架图的人体动作识别是计算机视觉领域中的一个研究热点. 传统识别方法大多是建立
在人体骨架的局部自然物理连接上(内在依赖). 然而, 许多隐含的非局部的关节连接有时对于人体 …
在人体骨架的局部自然物理连接上(内在依赖). 然而, 许多隐含的非局部的关节连接有时对于人体 …
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization
KW Wu - arXiv preprint arXiv:2412.12218, 2024 - arxiv.org
Graph neural networks (GNNs) have seen extensive application in domains such as social
networks, bioinformatics, and recommendation systems. However, the irregularity and …
networks, bioinformatics, and recommendation systems. However, the irregularity and …
Ensemble Deep Learning Models for Accurate Prediction of Cardiovascular Disease Risk: A Comparative Analysis
J Midhun, ASA Raj, M Beereddy… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
A leading cause of death globally is cardiovascular disease (CVD). Early CVD detection is
essential for successful treatment and complication prevention. Convolutional neural …
essential for successful treatment and complication prevention. Convolutional neural …