FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism

Summary: FeLoG closes the sampling–training loop, prioritizing undertrained nodes via embedding-quality feedback to accelerate distributed graph embedding. Activity-aware communication and round-interleaved CPU–GPU pipelining cut communication and improve utilization, yielding 27.9× speedups. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID: h31418abed4f15d13
Venue: VLDB
Year: 2026
Pagerank: 4.9605343e-05
Overall Rank: 10,897 | 26.96%
DOI: 10.14778/3828612.3828633
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

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

Authors

1. Peng Fang (Huazhong University of Science and Technology)
2. Arijit Khan (Bowling Green State University)
3. Ziqiang Wu (Huazhong University of Science and Technology)
4. Zhenli Li (Huazhong University of Science and Technology)
5. Yibo Zhou (Huazhong University of Science and Technology)
6. Fang Wang (Huazhong University of Science and Technology)
7. Dan Feng (Huazhong University of Science and Technology)

BibTeX Citation

@article{fang_vldb26,
        title = {{FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism}},
        author = {Fang, Peng and Khan, Arijit and Wu, Ziqiang and Li, Zhenli and Zhou, Yibo and Wang, Fang and Feng, Dan},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {10},
        pages = {2803--2816},
        doi = {10.14778/3828612.3828633},
        url = {https://doi.org/10.14778/3828612.3828633},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
203	AliGraph: A Comprehensive Graph Neural Network Platform	2019	VLDB	0.00025234479
776	Bitmap Index Design and Evaluation	1998	SIGMOD	0.0001406101
1,780	ByteGNN: Efficient Graph Neural Network Training at Large Scale	2022	VLDB	9.6601841e-05
1,843	Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank	2020	VLDB	9.512431e-05
2,273	NeutronStar: Distributed GNN Training with Hybrid Dependency Management	2022	SIGMOD	8.7079974e-05
2,859	Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching	2022	VLDB	7.9141159e-05
4,848	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses	2024	VLDB	6.3691963e-05
4,850	DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning	2024	VLDB	6.3682022e-05
4,884	NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments	2024	VLDB	6.3564568e-05
5,148	SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization	2022	VLDB	6.2387892e-05
5,648	NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access	2022	SIGMOD	6.0350483e-05
6,124	GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs	2024	VLDB	5.8623233e-05
6,815	XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store	2024	VLDB	5.6595682e-05
8,041	Distributed Graph Embedding with Information-Oriented Random Walks	2023	VLDB	5.385603e-05
8,174	NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism	2025	VLDB	5.3692867e-05
9,835	NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters	2026	SIGMOD	5.1064323e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,808	FlareDTDG: Harnessing Temporal Recency for Scalable Discrete-Time Dynamic Graph Training	2026	VLDB
2	9,942	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2023	VLDB
3	5,676	Subgraph Matching over Graph Federation	2022	VLDB
4	2,325	Scalable and Efficient Full-Graph GNN Training for Large Graphs	2023	SIGMOD
5	11,585	GE2: A General and Efficient Knowledge Graph Embedding Learning System	2024	SIGMOD
6	11,667	FedGTA: Topology-aware Averaging for Federated Graph Learning	2024	VLDB
7	8,041	Distributed Graph Embedding with Information-Oriented Random Walks	2023	VLDB
8	11,290	OpenFGL: A Comprehensive Benchmark for Federated Graph Learning	2025	VLDB
9	9,373	FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication	2023	SIGMOD
10	8,656	Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning	2024	SIGMOD