Capsule*: An Out-of-Core Training Mechanism for Colossal GNNs
Summary: Capsule is an out-of-core GNN training mechanism using GPU-resident memory and kernels for scalable training on massive graphs. Unlike CPU-based out-of-core systems with CPU kernels, Capsule preserves GPU acceleration and integrates with DGL and PyG. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yongan Xiang
- 2. Zezhong Ding
- 3. Rui Guo
- 4. Shangyou Wang
- 5. Xike Xie
- 6. S. Kevin Zhou
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,677 | Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving | 2025 | SIGMOD | 4.3047774e-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 |
|---|---|---|---|---|
| 278 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00029230623 |
| 3,087 | Scalable and Efficient Full-Graph GNN Training for Large Graphs | 2023 | SIGMOD | 7.5939896e-05 |
| 3,276 | Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching | 2022 | VLDB | 7.2879718e-05 |
| 4,234 | Distributed Edge Partitioning for Trillion-edge Graphs | 2019 | VLDB | 6.3355073e-05 |
| 5,949 | Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints | 2021 | SIGMOD | 5.2595857e-05 |
| 6,446 | Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning | 2024 | SIGMOD | 5.0588808e-05 |
| 7,108 | DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training | 2025 | SIGMOD | 4.8297805e-05 |
| 7,642 | Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search | 2013 | VLDB | 4.6901822e-05 |
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