Fast and Accurate Network Embeddings via Very Sparse Random Projection-Reference-Cited by-同舟云学术

Fast and Accurate Network Embeddings via Very Sparse Random Projection

Published:2019-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Information and Knowledge Management
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Author:

Chen Haochen¹,Sultan Syed Fahad¹,Tian Yingtao¹,Chen Muhao²,Skiena Steven¹

Affiliation:

1. Stony Brook University, Stony Brook, NY, USA

2. University of California, Los Angeles, Los Angeles, NY, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357384.3357879

Reference38 articles.

1. Database-friendly random projections: Johnson-Lindenstrauss with binary coins

2. An algorithmic theory of learning: robust concepts and random projection

3. Mikhail Belkin and Partha Niyogi. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems. 585--591. Mikhail Belkin and Partha Niyogi. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems. 585--591.

4. Cilk: An Efficient Multithreaded Runtime System

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