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A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness

Summary: Systematic benchmark of spectral GNNs: categorizes 35 models into 27 spectral filters and implements them in a unified spectral-oriented framework that scales to million-node graphs. Cross-scale evaluations expose nontrivial efficiency/memory/effectiveness trade-offs and give practical deployment guidelines. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
he168dd28269a8e0a
Venue
SIGMOD
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,520 | 29.27%
DOI
10.1145/3749156

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Authors

BibTeX Citation

@inproceedings{liao_sigmod26,
        title = {{A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness}},
        author = {Liao, Ningyi and Liu, Haoyu and Zhu, Zulun and Luo, Siqiang and Lakshmanan, Laks V.S.},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749156},
        url = {https://dl.acm.org/doi/10.1145/3749156},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
211 AliGraph: A Comprehensive Graph Neural Network Platform 2019 VLDB 0.00024816965
239 The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing 2018 VLDB 0.000235107
1,033 AGL: A Scalable System for Industrial-purpose Graph Machine Learning 2020 VLDB 0.00012397734
1,772 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.6792287e-05
2,439 Accelerating Large Scale Real-Time GNN Inference using Channel Pruning 2021 VLDB 8.4652234e-05
2,519 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3521095e-05
2,863 Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching 2022 VLDB 7.9301802e-05
4,622 Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning 2022 VLDB 6.4982876e-05
4,853 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 6.3805655e-05
4,898 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 6.365824e-05
5,124 SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization 2022 VLDB 6.2624516e-05
5,339 FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training 2024 VLDB 6.1731674e-05
6,109 GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs 2024 VLDB 5.8845577e-05
6,669 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 5.7147311e-05
7,506 ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling 2023 SIGMOD 5.5070363e-05
8,623 D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks 2024 VLDB 5.3009314e-05
10,263 BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank 2024 VLDB 5.050482e-05
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