SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training

Summary: SWASH: sliding-window cache sharing for scalable distributed DGNN training. Lightweight, sliding-window-aware partitioning with adaptive scheduling and boundary-embedding caches reduces partitioning/communication overhead while preserving accuracy, yielding 9.44x speedups over state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7274
Venue: SIGMOD
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,506 | 26.92%
DOI: 10.1145/3725360

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 14 of 14 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
283	Querying K-Truss Community in Large and Dynamic Graphs	2014	SIGMOD	0.00029041257
636	APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	2021	SIGMOD	0.00018846494
1,160	Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks	2022	VLDB	0.00013586221
1,387	TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs	2022	VLDB	0.00012261568
3,025	NeutronStar: Distributed GNN Training with Hybrid Dependency Management	2022	SIGMOD	7.6906935e-05
4,047	Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees	2023	SIGMOD	6.4972105e-05
5,018	DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks	2023	SIGMOD	5.7567672e-05
5,345	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams	2024	VLDB	5.5567697e-05
5,521	Efficient Streaming Subgraph Isomorphism with Graph Neural Networks	2021	VLDB	5.4614637e-05
5,710	DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training	2024	VLDB	5.3590055e-05
6,004	Compression of Uncertain Trajectories in Road Networks	2020	VLDB	5.2415551e-05
6,485	EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs	2023	SIGMOD	5.0453531e-05
7,566	ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling	2023	SIGMOD	4.7089968e-05
9,446	TRACE: Real-time Compression of Streaming Trajectories in Road Networks	2021	VLDB	4.3404859e-05

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