DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning

Summary: DAHA: lightweight data+hardware-aware cost model predicting per-op runtimes to guide execution planning for mini-batch GNN training. Combines group in-turn pipelining, intra-batch rewriting, and inter-batch scheduling to eliminate batch-prep/transfer bottlenecks and boost device utilization and pipeline parallelism. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13382
Venue: VLDB
Year: 2024
Pagerank: 4.7701372e-05
Overall Rank: 7,286 | 49.37%
DOI: 10.14778/3648160.3648176

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,944	Efficient Training of Graph Neural Networks on Large Graphs	2024	VLDB	4.8875946e-05
7,014	SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement	2024	SIGMOD	4.8570865e-05
8,507	Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense	2024	VLDB	4.4909322e-05
9,677	Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving	2025	SIGMOD	4.3006524e-05
10,027	NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters	2026	SIGMOD	4.1905499e-05
10,163	Enumerating Graph Pattern Matches with ML Oracles	2026	SIGMOD	4.1905499e-05
10,233	Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling	2026	VLDB	4.1905499e-05
10,416	Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB	2025	SIGMOD	4.1905499e-05
10,579	NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism	2025	VLDB	4.1905499e-05
10,742	Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation	2025	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
271	AliGraph: A Comprehensive Graph Neural Network Platform	2019	VLDB	0.00029565193
1,162	Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks	2022	VLDB	0.00013573136
1,332	AGL: A Scalable System for Industrial-purpose Graph Machine Learning	2020	VLDB	0.00012549751
2,399	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	8.8869693e-05
2,425	DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU	2023	SIGMOD	8.8414587e-05
3,028	NeutronStar: Distributed GNN Training with Hybrid Dependency Management	2022	SIGMOD	7.6833093e-05
3,092	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD	7.5869574e-05
3,715	Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank	2023	VLDB	6.8176818e-05
4,686	Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures	2023	VLDB	5.9929067e-05

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