ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.03468
  4. Cited By
Toward Practical Entity Alignment Method Design: Insights from New
  Highly Heterogeneous Knowledge Graph Datasets

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets

7 April 2023
Xuhui Jiang
Chengjin Xu
Yinghan Shen
Yuanzhuo Wang
Fenglong Su
Fei Sun
Zixuan Li
Zhichao Shi
Jian Guo
Huawei Shen
ArXivPDFHTML

Papers citing "Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets"

4 / 4 papers shown
Title
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
Yaming Yang
Zhe Wang
Ziyu Guan
Wei Zhao
Xinyan Huang
Xiaofei He
59
0
0
14 Feb 2025
A Simple Temporal Information Matching Mechanism for Entity Alignment
  Between Temporal Knowledge Graphs
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
Lianshang Cai
Xin Mao
Meirong Ma
Haonan Yuan
Jianchao Zhu
Man Lan
32
15
0
20 Sep 2022
A Survey on Complex Question Answering over Knowledge Base: Recent
  Advances and Challenges
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges
Bin Fu
Yunqi Qiu
Chengguang Tang
Yang Li
Haiyang Yu
Jian Sun
148
94
0
26 Jul 2020
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Alberto García-Durán
Sebastijan Dumancic
Mathias Niepert
187
395
0
10 Sep 2018
1