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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
hf9bbfdea7ac212d4
Venue
SIGMOD
Year
2023
Pagerank
7.3314353e-05
Overall Rank
3,399 | 77.16%
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 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
4,767 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 6.4245781e-05
5,315 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 6.1828165e-05
6,168 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 5.8603375e-05
6,673 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 5.7120259e-05
6,831 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.6673474e-05
7,511 ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling 2023 SIGMOD 5.5044293e-05
8,678 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 5.2892731e-05
9,242 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 5.2032182e-05
9,244 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 5.2032182e-05
10,047 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 5.0896901e-05
10,546 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.9769913e-05
10,789 PRISM: A Training System to Unlock the Potential of Temporal Graph Learning Through Staleness Avoidance 2026 VLDB 4.9769913e-05
11,207 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 4.9769913e-05
11,322 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.9769913e-05
11,465 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.9769913e-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
593 2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm 1994 VLDB 0.00015829023
724 A Performance Analysis of View Materialization Strategies 1987 SIGMOD 0.00014480522
1,086 DataHub: Collaborative Data Science & Dataset Version Management at Scale 2015 CIDR 0.0001209772
1,355 Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff 2015 VLDB 0.00010921447
1,928 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3563363e-05
2,521 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3481558e-05
3,632 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.146238e-05
5,794 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.9906542e-05
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# Overall Rank Paper Year Venue
1 2,598 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD
2 10,546 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD
3 11,075 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB
4 11,322 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB
5 4,767 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB
6 5,055 Decoupled Graph Neural Networks for Large Dynamic Graphs 2023 VLDB
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8 5,346 FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training 2024 VLDB
9 11,465 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB
10 6,831 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD