XGCN: a library for large-scale graph neural network recommendations

Graphical abstract

References

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 62172174, 61932004).

Competing interests

The authors declare that they have no competing interests or financial conflicts to disclose.

Electronic supplementary material

The supplementary material is available online at journal.hep.con.cn and link.springer.com.

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2024 Higher Education Press