Employment Recommendation System for College Students Based on Graph Neural Network

With the increasing number of college graduates and the increasing employment pressure of students, colleges and universities are facing the problems of insufficient employment guidance teachers and lack of targeted guidance, and students are facing the problems of lack of clear direction and goals and insufficient information screening ability. Therefore, the research on precise employment recommendation has become a key field. This paper aims to collect and analyze the basic information of students in the school of computer science in a university in the past five years and campus behavior data such as learning in school, scientific research training, competition participation, and student activities. Then GraphSAGE algorithm is used to build a job destination model and provide accurate employment recommendations for students. The final results show that our model is highly practical.