Gtensor-Reference-Cited by-同舟云学术

Gtensor

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Ahn Dawon¹,Son Sangjun¹,Kang U¹

Affiliation:

1. Seoul National University, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3417413

Reference19 articles.

1. t-PINE: tensor-based predictable and interpretable node embeddings

2. Brett W. Bader Tamara G. Kolda et almbox. 2015. MATLAB Tensor Toolbox Version 2.6. Available online. http://www.sandia.gov/tgkolda/TensorToolbox/ Brett W. Bader Tamara G. Kolda et almbox. 2015. MATLAB Tensor Toolbox Version 2.6. Available online. http://www.sandia.gov/tgkolda/TensorToolbox/

3. S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization

4. A C++ Library for Tensor Decomposition

5. Jun-Gi Jang and U Kang. 2020. D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. In ICDE. Jun-Gi Jang and U Kang. 2020. D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. In ICDE.

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1. DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

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3. Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26

4. Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries;Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining;2021-08-14