Proceedings of the ACM Web Conference 2023 2023
DOI: 10.1145/3543507.3583399
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Robust Graph Representation Learning for Local Corruption Recovery

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Cited by 5 publications
(1 citation statement)
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“…Dataset and Metrics. To evaluate the performance of the proposed framework for robust open-set node classification, We conducted experiments on three main benchmark graph datasets (Wu, Pan, and Zhu 2020;Zhu et al 2022), namely Cora 1 , Citeseer 2 (Yang, Cohen, and Salakhudinov 2016), and Coauthor-CS 3 (Zhou et al 2023), which are widely used citation network datasets. The statistics of the datasets are presented in the Appendix.…”
Section: Methodsmentioning
confidence: 99%
“…Dataset and Metrics. To evaluate the performance of the proposed framework for robust open-set node classification, We conducted experiments on three main benchmark graph datasets (Wu, Pan, and Zhu 2020;Zhu et al 2022), namely Cora 1 , Citeseer 2 (Yang, Cohen, and Salakhudinov 2016), and Coauthor-CS 3 (Zhou et al 2023), which are widely used citation network datasets. The statistics of the datasets are presented in the Appendix.…”
Section: Methodsmentioning
confidence: 99%