HongTu: Scalable Full-Graph GNN Training on Multiple GPUs

Summary: HongTu scales full-graph GNN training on multi-GPU platforms with CPU-memory vertex storage, GPU offload, and recomputation caching. It minimizes host-GPU traffic with deduplicated communication and cost-guided reorganization, and delivers speedups over DistGNN. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6748
Venue: SIGMOD
Year: 2023
Pagerank: 4.8370645e-05
Overall Rank: 7,091 | 50.67%
DOI: 10.1145/3626733

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,607	Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods	2025	VLDB	4.6967024e-05
10,027	NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters	2026	SIGMOD	4.1945683e-05
10,066	DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention	2026	SIGMOD	4.1945683e-05
10,298	NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments	2026	VLDB	4.1945683e-05
10,539	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch.	2025	VLDB	4.1945683e-05
10,570	NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism	2025	VLDB	4.1945683e-05
10,735	Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation	2025	VLDB	4.1945683e-05
11,026	Improving Graph Compression for Efficient Resource-Constrained Graph Analytics	2024	VLDB	4.1945683e-05

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
1,103	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture	2021	VLDB	0.00014025101
1,160	Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks	2022	VLDB	0.00013586221
2,067	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB	9.6392739e-05
2,287	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	9.0972606e-05
3,025	NeutronStar: Distributed GNN Training with Hybrid Dependency Management	2022	SIGMOD	7.6906935e-05
4,355	LargeEA: Aligning Entities for Large-scale Knowledge Graphs	2022	VLDB	6.259483e-05
5,699	EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs	2021	VLDB	5.3654927e-05

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