Database Paper Browser

Back to papers

NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters

Summary: NeutronHeter: top-down multi-level mapping on a tree-like resource graph (hierarchical clustering of compute and bandwidth) to solve the multi-constrained multi-way GNN placement problem in heterogeneous clusters. Plus adaptive communication migration via selective vertex replication to bypass low-bandwidth links, reducing asymmetric communication hotspots and yielding 1.06–33.05x speedups over SOTA. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7333
Venue
SIGMOD
Year
2026
Pagerank
4.1905499e-05
Overall Rank
10,027 | 30.32%
DOI
10.1145/3749175

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,310 NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments 2026 VLDB 4.1905499e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 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
1,946 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.9983926e-05
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
5,135 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6669017e-05
6,885 Lotan: Bridging the Gap between GNNs and Scalable Graph Analytics Engines 2023 VLDB 4.8908367e-05
6,944 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8875946e-05
6,979 OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine 2024 VLDB 4.8697538e-05
7,003 RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing 2024 VLDB 4.8609956e-05
7,087 HongTu: Scalable Full-Graph GNN Training on Multiple GPUs 2023 SIGMOD 4.8324242e-05
7,286 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 4.7701372e-05
7,543 XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store 2024 VLDB 4.7103673e-05
Previous Page 1 / 1 Next

Semantically Similar Papers