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Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees

Summary: Orca accelerates temporal GNN training on dynamic graphs by caching and reusing intermediate embeddings under practical limits. MRD cache replacement with theoretical error bounds and convergence guarantees; yields large speedup and improved accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6617
Venue
SIGMOD
Year
2023
Pagerank
7.2358691e-05
Overall Rank
3,634 | 75.07%
DOI
10.1145/3588737

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod23,
        title = {{Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees}},
        author = {Li, Yiming and Shen, Yanyan and Chen, Lei and Yuan, Mingxuan},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588737},
        url = {https://dl.acm.org/doi/10.1145/3588737},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
5,205 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.318626e-05
5,760 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.0961929e-05
6,630 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 5.8192133e-05
6,730 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.7895038e-05
6,900 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.7430032e-05
7,374 ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling 2023 SIGMOD 5.6306367e-05
8,503 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.4132367e-05
9,880 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 5.2040783e-05
10,330 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 5.093636e-05
10,780 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 5.093636e-05
10,887 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.093636e-05
10,907 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.093636e-05
10,922 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 5.093636e-05
11,110 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
637 2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm 1994 VLDB 0.0001547341
707 A Performance Analysis of View Materialization Strategies 1987 SIGMOD 0.00014771849
1,077 DataHub: Collaborative Data Science & Dataset Version Management at Scale 2015 CIDR 0.00012269438
1,349 Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff 2015 VLDB 0.00011069122
1,937 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.4524758e-05
2,485 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.5145736e-05
3,573 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.2977194e-05
5,699 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 6.1170243e-05
Previous Page 1 / 1 Next

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# Overall Rank Paper Year Venue
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4 10,922 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB
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6 5,205 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB
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9 11,110 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB
10 6,730 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD