What question did this study set out to answer?

This corrigendum aims to clarify and correct details in the original benchmarking article on spectral GNNs.

April 10, 2026

Corrigendum: A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: Experiments & Analysis

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This corrigendum aims to clarify and correct details in the original benchmarking article on spectral GNNs.
Correction of previously published data related to efficiency, memory, and effectiveness of spectral GNNs.
Review of benchmark analysis methodologies used in the original article.
Updated benchmarks reflect changes in reported efficiency and memory use for spectral GNNs.
Clarified definitions enhance understanding of effectiveness metrics in spectral GNN evaluations.

Resumen

This is a corrigendum for the article ''A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: Experiments & Analysis'' published in Proc. ACM Manag. Data 3, 4 (SIGMOD), Article 238 (September 2025), 29 pages.

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Authors

Ningyi Liao

Huan Liu

Zulun Zhu

Journals

Proceedings of the ACM on Management of Data

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Institutions

University of British Columbia

Nanyang Technological University

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Corrigendum: A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: Experiments & Analysis

Puntos clave

Resumen

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Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

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