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June 13, 2024Open Access

Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency

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Authors

NLNingyi LiaoNanyang Technological UniversityHLHaoyu LiuStanford UniversityZZZulun Zhu

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Liao et al. (2024) studied this question.

synapsesocial.com/papers/68e64f88b6db6435875e02f0https://doi.org/10.48550/arxiv.2406.09675
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Also Consider

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  1. 1A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness2025 · 4 citations
  2. 2A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs2024 · 2 citations
  3. 3Rethinking Spectral Graph Neural Networks With Spatially Adaptive Filtering2026
  4. 4Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance2024
  5. 5Corrigendum: A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: [Experiments & Analysis]2026