Corpus ID: 226246289

Graph Neural Networks in Recommender Systems: A Survey

@article{Wu2020GraphNN,
  title={Graph Neural Networks in Recommender Systems: A Survey},
  author={S. Wu and Wentao Zhang and Fei Sun and B. Cui},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.02260}
}

S. Wu, Wentao Zhang, +1 author B. Cui

Published 2020

Computer Science

ArXiv

With the explosive growth of online information, recommender systems play a key role to alleviate such information overload. Due to the important application value of recommender system, there have always been emerging works in this field. In recent years, graph neural network (GNN) techniques have gained considerable interests which can naturally integrate node information and topological structure. Owing to the outperformance of GNN in learning on graph data, GNN methods have been widely… CONTINUE READING

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