Coherence mode: Characterizing local graph structural information for temporal knowledge graph-Reference-Cited by-同舟云学术

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Coherence mode: Characterizing local graph structural information for temporal knowledge graph

Published:2025-01 Issue: Volume:686 Page:121357
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Si Yuehang,Hu Xingchen^ORCID,Cheng Qing,Liu Xinwang,Liu Shixuan,Huang Jincai

Funder

National Natural Science Foundation of China

National University of Defense Technology

Publisher

Elsevier BV

Reference49 articles.

1. T-GAE: a timespan-aware graph attention-based embedding model for temporal knowledge graph completion;Hou;Inf. Sci.,2023

2. TEQUILA: temporal question answering over knowledge bases;Jia,2018

3. Gdelt: Global Data on Events, Location, and Tone, 1979–2012;Leetaru,2013

4. Icews coded event data;Boschee;Harvard Dataverse,2015

5. Learning sequence encoders for temporal knowledge graph completion;García-Durán,2018

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