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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
6555
Venue
SIGMOD
Year
2023
Pagerank
6.4972105e-05
Overall Rank
4,047 | 71.85%
DOI
10.1145/3588737

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
5,475 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 5.4869706e-05
5,710 DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training 2024 VLDB 5.3590055e-05
6,942 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8922884e-05
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8616315e-05
7,566 ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling 2023 SIGMOD 4.7089968e-05
8,510 Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense 2024 VLDB 4.4952414e-05
9,677 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 4.3047774e-05
9,805 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 4.2805224e-05
10,035 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.1945683e-05
10,506 SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training 2025 SIGMOD 4.1945683e-05
10,634 PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization 2025 VLDB 4.1945683e-05
10,656 Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing 2025 VLDB 4.1945683e-05
10,673 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.1945683e-05
10,887 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.1945683e-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
653 A Performance Analysis of View Materialization Strategies 1987 SIGMOD 0.00018626606
695 2Q: A Low Overhead High Performance Buffer Management Replacement Algorithm 1994 VLDB 0.00018061376
1,281 DataHub: Collaborative Data Science & Dataset Version Management at Scale 2015 CIDR 0.00012854744
1,565 Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff 2015 VLDB 0.00011345567
2,163 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3949234e-05
2,677 HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework 2022 VLDB 8.3268401e-05
2,886 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.9612767e-05
6,053 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.2326838e-05
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Overall Rank Paper Year Venue Pagerank
3,087 Scalable and Efficient Full-Graph GNN Training for Large Graphs 2023 SIGMOD 7.5939896e-05
10,035 SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine 2026 SIGMOD 4.1945683e-05
10,322 Understanding Evolving Graph Structures for Large Discrete-Time Dynamic Graph Representation 2026 VLDB 4.1945683e-05
10,673 When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction 2025 VLDB 4.1945683e-05
5,475 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 5.4869706e-05
5,443 Decoupled Graph Neural Networks for Large Dynamic Graphs 2023 VLDB 5.5025808e-05
1,387 TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs 2022 VLDB 0.00012261568
5,321 FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training 2024 VLDB 5.5710441e-05
10,887 Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours 2025 VLDB 4.1945683e-05
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8616315e-05