Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Summary: Co-design of learning and system for scalable SGRL using walk-based subgraph decomposition to reuse walks and cut extraction redundancy. SUREL scales to millions of nodes/edges, delivering ~10x speed-up over SGRL baselines and up to 50% accuracy gains vs canonical GNNs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haoteng Yin
- 2. Muhan Zhang
- 3. Yanbang Wang
- 4. Jianguo Wang
- 5. Pan Li
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,113 | SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning | 2023 | VLDB | 6.036121e-05 |
| 7,464 | GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs | 2024 | VLDB | 5.6733565e-05 |
| 9,866 | Substructure-aware Log Anomaly Detection | 2025 | VLDB | 5.2559525e-05 |
| 10,011 | A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness | 2026 | SIGMOD | 5.1725247e-05 |
| 10,891 | Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours | 2025 | VLDB | 5.1725247e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 242 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00023878232 |
| 1,107 | AGL: A Scalable System for Industrial-purpose Graph Machine Learning | 2020 | VLDB | 0.00012228654 |
| 2,521 | Accelerating Large Scale Real-Time GNN Inference using Channel Pruning | 2021 | VLDB | 8.5409647e-05 |
| 3,722 | G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs | 2020 | VLDB | 7.2370321e-05 |
| 3,802 | Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization | 2021 | VLDB | 7.1672154e-05 |
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