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Who Should Go First? A Self-Supervised Concept Sorting Model for
  Improving Taxonomy Expansion

Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion

8 April 2021
Xiangchen Song
Jiaming Shen
Jieyu Zhang
Jiawei Han
ArXivPDFHTML

Papers citing "Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion"

4 / 4 papers shown
Title
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on
  Non-gaussian Space
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
Songlin Zhai
Weiqing Wang
Yuanfa Li
Yuan Meng
32
4
0
22 Feb 2023
Learning What You Need from What You Did: Product Taxonomy Expansion
  with User Behaviors Supervision
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision
Sijie Cheng
Zhouhong Gu
Bang Liu
Rui Xie
Wei Wu
Yanghua Xiao
24
9
0
28 Mar 2022
A Web-scale system for scientific knowledge exploration
A Web-scale system for scientific knowledge exploration
Zhihong Shen
Hao Ma
Kuansan Wang
127
120
0
30 May 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
242
1,340
0
12 Feb 2018
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