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Accelerating Large Scale Real-Time GNN Inference using Channel Pruning

Summary: Channel pruning via LASSO identifies influential GNN channels per layer for large-scale real-time inference. Two inference regimes and a feature-reuse scheme cut compute/memory, achieving 3.27x GPU and 6.67x CPU speedups with minimal accuracy loss. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12534
Venue
VLDB
Year
2021
Pagerank
8.6490185e-05
Overall Rank
2,386 | 83.64%
DOI
10.14778/3461535.3461547

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhou_vldb21,
        title = {{Accelerating Large Scale Real-Time GNN Inference using Channel Pruning}},
        author = {Zhou, Hongkuan and Srivastava, Ajitesh and Zeng, Hanqing and Kannan, Rajgopal and Prasanna, Viktor},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {9},
        pages = {1597--1605},
        doi = {10.14778/3461535.3461547},
        url = {https://doi.org/10.14778/3461535.3461547},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
1,132 SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00012041292
4,549 Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning 2022 VLDB 6.6364104e-05
6,900 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.7430032e-05
9,729 Scalable Graph Convolutional Network Training on Distributed-Memory Systems 2023 VLDB 5.2289669e-05
9,922 View-based Explanations for Graph Neural Networks 2024 SIGMOD 5.1955087e-05
10,309 A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness 2026 SIGMOD 5.093636e-05
10,420 SG-Serve: Efficient Model Serving for Subgraph-based Graph Representation Learning 2026 SIGMOD 5.093636e-05
10,521 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 5.093636e-05
10,913 Inference-friendly Graph Compression for Graph Neural Networks 2025 VLDB 5.093636e-05
11,021 Graph Compression for Interpretable Graph Neural Network Inference At Scale 2025 VLDB 5.093636e-05
11,285 Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank Cited Paper Year Venue Pagerank
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