RoAN: A relation-oriented attention network for temporal knowledge graph completion-Reference-Cited by-同舟云学术

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RoAN: A relation-oriented attention network for temporal knowledge graph completion

Published:2023-08 Issue: Volume:123 Page:106308
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Bai Luyi^ORCID,Ma Xiangnan,Meng Xiangxi,Ren Xin,Ke Yujing

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference59 articles.

1. Layer normalization;Ba,2016

2. TuckER: Tensor factorization for knowledge graph completion;Balažević,2019

3. Hypernetwork knowledge graph embeddings;Balažević,2019

4. Translating embeddings for modeling multi-relational data;Bordes;Adv. Neural Inf. Process. Syst.,2013

5. Integrated crisis early warning system (icews) coded event data;Boschee,2015

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1. ConvTKG: A query-aware convolutional neural network-based embedding model for temporal knowledge graph completion;Neurocomputing;2024-07

2. SANe: Space adaptation network for temporal knowledge graph completion;Information Sciences;2024-05

3. Revolutionary Strategy for Depicting Knowledge Graphs with Temporal Attributes;Mathematics;2024-04-26

4. A Multi-View Temporal Knowledge Graph Reasoning Framework with Interpretable Logic Rules and Feature Fusion;Electronics;2024-02-12

5. Temporal Knowledge Graph Reasoning: A Review;Communications in Computer and Information Science;2024

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