GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network-Reference-Cited by-同舟云学术

GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Jia Ran¹^ORCID,Guo Haoming²^ORCID,Jin Xiaoyuan³^ORCID,Yan Chao⁴^ORCID,Du Lun¹^ORCID,Ma Xiaojun¹^ORCID,Stankovic Tamara⁵^ORCID,Lozajic Marko⁵^ORCID,Zoranovic Goran⁵^ORCID,Ilic Igor⁵^ORCID,Han Shi¹^ORCID,Zhang Dongmei¹^ORCID

Affiliation:

1. Microsoft, Beijing, China

2. University of California, Berkeley, Berkeley, CA, USA

3. ETH Zürich, Zürich, Switzerland

4. Peking University, Beijing, China

5. Microsoft, Belgrade, Serbia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599366

Reference47 articles.

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4. Web-scale table census and classification

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. https://arxiv.org/abs/1810.04805 Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. https://arxiv.org/abs/1810.04805