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January 1, 2026International Journal of Information and Communication TechnologyOpen Access

Employment trajectory prediction for graduates using temporal graph convolutional networks

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Key Points

This research aims to predict employment trajectories for graduates using advanced modeling techniques.
Utilized temporal graph convolutional networks for data analysis.
Incorporated historical employment data and current labor market trends.
Successfully predicted employment outcomes based on various factors.
Demonstrated improved accuracy over traditional prediction methods.

Implication

Predictive model identifies employment paths for graduates, indicating potential career outcomes.

Abstract

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Cite This Study

Chengcheng Liu (2026) studied this question.

synapsesocial.com/papers/69fd7fb8bfa21ec5bbf083ff https://doi.org/10.1504/ijict.2026.10078197

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