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LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
Feb. 22, 2024, 5:41 a.m. | Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Kay Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veerar
cs.LG updates on arXiv.org arxiv.org
Abstract: We present LinkSAGE, an innovative framework that integrates Graph Neural Networks (GNNs) into large-scale personalized job matching systems, designed to address the complex dynamics of LinkedIns extensive professional network. Our approach capitalizes on a novel job marketplace graph, the largest and most intricate of its kind in industry, with billions of nodes and edges. This graph is not merely extensive but also richly detailed, encompassing member and job nodes along with key attributes, thus creating …
abstract arxiv cs.ai cs.lg cs.si dynamics framework gnns graph graph neural networks job kind marketplace network networks neural networks novel personalized professional scale systems type
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