LightNE: A Lightweight Graph Processing System for Network Embedding
Summary: LightNE is a CPU-only, single-machine graph embedding system, scalable to graphs with billions of edges, combining NetSMF and ProNE. Downsampling to reduce NetSMF sample needs; GBBS-based stack; sparse hash tables for sparsifier; MKL-based randomized SVD. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiezhong Qiu (Tsinghua University)
- 2. Laxman Dhulipala (Massachusetts Institute of Technology)
- 3. Jie Tang (Tsinghua University)
- 4. Richard Peng (Georgia Institute of Technology)
- 5. Chi Wang (Microsoft)
BibTeX Citation
@inproceedings{qiu_sigmod21,
title = {{LightNE: A Lightweight Graph Processing System for Network Embedding}},
author = {Qiu, Jiezhong and Dhulipala, Laxman and Tang, Jie and Peng, Richard and Wang, Chi},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457329},
url = {https://dl.acm.org/doi/10.1145/3448016.3457329},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,157 | Efficient Estimation of Pairwise Effective Resistance | 2023 | SIGMOD | 6.3409526e-05 |
| 5,597 | Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses | 2024 | VLDB | 6.1547003e-05 |
| 6,408 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 5.8842681e-05 |
| 10,973 | Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges | 2025 | VLDB | 5.093636e-05 |
| 11,108 | Efficient Graph Embedding Generation and Update for Large-Scale Temporal Graph | 2025 | VLDB | 5.093636e-05 |
| 11,172 | Efficient Approximation of Kemeny’s Constant for Large Graphs | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,968 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB | 9.3752727e-05 |
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