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LightNE: A Lightweight Graph Processing System for Network Embedding

  • Published:2021-06-09 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 2021 International Conference on Management of Data
  • language:
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Author:

Qiu Jiezhong1,Dhulipala Laxman2,Tang Jie3,Peng Richard4,Wang Chi5

Affiliation:

1. Tsinghua University, Beijing, China

2. Massachusetts Institute of Technology, Boston, MA, USA

3. Tsinghua University & Microsoft Research, Beijing, China

4. Georgia Insitute of Technology & Microsoft Research, Atlanta, GA, USA

5. Microsoft Research, Redmond, WA, USA

Funder

NSFC

NSFC for Distinguished Young Scholar

US National Science Foundation

National Key R&D Program of China

Publisher

ACM

Reference42 articles.

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Approximation of Kemeny's Constant for Large Graphs;Proceedings of the ACM on Management of Data;2024-05-29

2. Resistance Eccentricity in Graphs: Distribution, Computation and Optimization;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Link prediction using low-dimensional node embeddings: The measurement problem;Proceedings of the National Academy of Sciences;2024-02-16

4. Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses;Proceedings of the VLDB Endowment;2024-02

5. FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning;Equity and Access in Algorithms, Mechanisms, and Optimization;2023-10-30
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