Results 121 to 130 of about 9,217,308 (160)

Spatial-Temporal Attention Network for Temporal Knowledge Graph Completion

Lecture Notes in Computer Science, 2021
Temporal knowledge graph completion, which aims to predict missing links in temporal knowledge graph (TKG), is an important research task due to the incompleteness of TKG. Recently, TKG embedding methods have proved to be effective for this task. However, most of existing methods regard TKG as a set of independent facts and consequently ignore the ...
Jie Shao
exaly   +3 more sources

Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion

Future Generation Computer Systems, 2023
Xin Bi, Xiangguo Zhao
exaly   +3 more sources

QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion

IEEE Transactions on Neural Networks and Learning Systems
Temporal knowledge graph completion (TKGC) is an extension of the traditional static knowledge graph completion (SKGC) by introducing the timestamp. The existing TKGC methods generally translate the original quadruplet to the form of the triplet by integrating the timestamp into the entity/relation, and then use SKGC methods to infer the missing item ...
Junbin Gao, Boyue Wang, Yongli Hu
exaly   +4 more sources

Specific Time Embedding for Temporal Knowledge Graph Completion

2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2020
The knowledge graph can be used as a corpus of cognitive computing, in this paper we mainly focus on the temporal knowledge graph. Temporal knowledge graph(TKG), as an extension of static knowledge graph(KG), can be used to deal with dynamic and time-varying knowledge in the real scenario, because many relations are only valid for a certain period, so ...
Runyu Ni, Zhonggui Ma, Kaihang Yu, Xiaohan Xu   +3 more
openaire   +2 more sources

Sparse temporal knowledge graph completion based on path imitation

Neurocomputing
Luyi Bai
exaly   +2 more sources

Tensor decompositions for temporal knowledge graph completion with time perspective

Expert Systems With Applications
Xianghua Ying, Jinfa Yang, Yongjie Shi   +2 more
exaly   +3 more sources

SANe: Space adaptation network for temporal knowledge graph completion

Information Sciences
Shuai Ma, Bo Zhang, Yangxue Li
exaly   +2 more sources

Deep learning for temporal knowledge graph completion

2021
Cheung, Jackie (Supervisor2)
openaire   +1 more source

Leveraging semantic property for temporal knowledge graph completion

Applied Intelligence, 2022
Mingda Li, Zhengya Sun, Wensheng Zhang 0002, Wei Liu   +3 more
openaire   +1 more source

An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion

2023
Thuy-Anh Nguyen Thi, Viet-Phuong Ta, Xuan Hieu Phan, Quang-Thuy Ha   +3 more
openaire   +2 more sources