Enhancing App Usage Prediction Accuracy With GCN-Transformer Model and Meta-Path Context

Enhancing App Usage Prediction Accuracy With GCN-Transformer Model and Meta-Path Context

In this paper, we introduce MP-GT, a novel Graph Neural Network model that leverages meta-path-guided optimization within the GCN-Transformer framework to enhance application (App) usage prediction accuracy. Our approach addresses issues such as suspended animation and over-smoothing by extracting b...

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Bibliographic Details
Main Authors: Xi Fang, Hui Yang, Ding Ding, Wenbin Gao, Lei Zhang, Yilong Wang, Liu Shi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Heterogeneous graph embedding
GCN-transformer
meta-path optimization
application usage modeling
Online Access:https://ieeexplore.ieee.org/document/10457062/

Internet

https://ieeexplore.ieee.org/document/10457062/

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