CoBERT: Scientific Collaboration Prediction via Sequential Recommendation

@article{Koopmann2021CoBERTSC,
  title={CoBERT: Scientific Collaboration Prediction via Sequential Recommendation},
  author={Tobias Koopmann and Konstantin Kobs and Konstantin Herud and Andreas Hotho},
  journal={2021 International Conference on Data Mining Workshops (ICDMW)},
  year={2021},
  pages={45-54}
}
Collaborations are an Important factor for scientific success, as the joint work leads to results individual scientists cannot easily reach. Recommending collaborations automatically can alleviate the time consuming and tedious search for potential collaborators. Usually, such recommendation systems rely on graph structures modeling co-authorship of papers and content-based relations such as similar paper keywords. Models are then trained to estimate the probability of links between certain… 
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