Retraction: Unlearning in Tabular-to-Hypergraph Learning via Selective Distillation

Authors

  • Rongxing Zhu College of Computer Science and Technology, Qingdao University, Qingdao 266071, China Author

DOI:

https://doi.org/10.63313/JCSFT.9035

Keywords:

Tabular Learning, Hypergraph Modeling, Machine Unlearning, Knowledge Distillation, Counterfactual Invariance, Membership Inference

Abstract

At request of the authors, this article has been retracted by Erytis Publishing Limited in light of clear evidence that the results and conclusions are no longer valid.

We thank the authors for notifying us so that the publication record can be amended accordingly.

Retraction published: March 10, 2026.

 

References

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[2] Arik S Ö, Pfister T. Tabnet: Attentive interpretable tabular learning[C]//Proceedings of the AAAI conference on artificial intelligence. 2021, 35(8): 6679-6687.

[3] Newatia A, Cooper M, Krishnan R. Unlearning Tabular Data Without a" Forget Set''[C]//NeurIPS 2024 Third Table Representation Learning Workshop.

[4] Xu C, Huang H, Ying X, et al. HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks[J]. Information Sciences, 2022, 607: 783-798.

[5] Zhu Z, Fan X, Chu X, et al. HGCN: A heterogeneous graph convolutional network-based deep learning model toward collective classification[C]//Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining. 2020: 1161-1171.

[6] Bretto A. Hypergraph theory[J]. An introduction. Mathematical Engineering. Cham: Springer, 2013, 1: 209-216.

[7] Bourtoule L, Chandrasekaran V, Choquette-Choo C A, et al. Machine unlearning[C]//2021 IEEE symposium on security and privacy (SP). IEEE, 2021: 141-159.

[8] Nguyen T T, Huynh T T, Ren Z, et al. A survey of machine unlearning[J]. ACM Transactions on Intelligent Systems and Technology, 2025, 16(5): 1-46.

[9] Zhang H, Nakamura T, Isohara T, et al. A review on machine unlearning[J]. SN Computer Science, 2023, 4(4): 337.

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Published

2025-12-23

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Articles

How to Cite

Retraction: Unlearning in Tabular-to-Hypergraph Learning via Selective Distillation. (2025). Journal of Computer Science and Frontier Technologies, 2(1), 100-107. https://doi.org/10.63313/JCSFT.9035