TENALIGN: Joint Tensor Alignment and Coupled Factorization-Reference-Cited by-同舟云学术

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TENALIGN: Joint Tensor Alignment and Coupled Factorization

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Data Mining (ICDM)
language:
Short-container-title:

Author:

Wu Yunshu¹,Saini Uday Singh¹,Chen Jia²,Papalexakis Evangelos E.¹

Affiliation:

1. University of California Riverside,Computer Science and Engineering

2. University of California Riverside,Electrical and Computer Engineering

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10027565/10027596/10027743.pdf?arnumber=10027743

Reference30 articles.

1. Machamp: a generalized entity matching benchmark;jin wang;Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM ’21),2021

2. An optimization framework for regularized linearly coupled matrix-tensor factorization;carla schenker;EUSIPCO 2020 - 28th European Signal Processing Conference Jan 2021 Virtual Netherlands,2020

3. Dynamic Knowledge Graph Alignment

4. Deep entity matching with pre-trained language models;yuliang li;PVLDB 14(1) XXX-XXX 2021,2021

5. Deep Learning for Entity Matching

Cited by 1 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. Synthetic data for learning-based knowledge discovery;ACM SIGKDD Explorations Newsletter;2024-07-24

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