Citation network applications in a scientific co-authorship recommender system

Vladislav Tishin; Artyom Sosedka; Peter Ibragimov; Vadim Porvatov

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arXiv · 2111.15466

Citation network applications in a scientific co-authorship recommender system

Vladislav Tishin·Artyom Sosedka·Peter Ibragimov·Vadim Porvatov

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Abstract

The problem of co-authors selection in the area of scientific collaborations might be a daunting one. In this paper, we propose a new pipeline that effectively utilizes citation data in the link prediction task on the co-authorship network. In particular, we explore the capabilities of a recommender system based on data aggregation strategies on different graphs. Since graph neural networks proved their efficiency on a wide range of tasks related to recommendation systems, we leverage them as a relevant method for the forecasting of potential collaborations in the scientific community.

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Vladislav Tishin, Artyom Sosedka, Peter Ibragimov, Vadim Porvatov. 2021-11-22. Citation network applications in a scientific co-authorship recommender system. https://arxiv.org/abs/2111.15466

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