Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning

Pengfei Li; Guangyou Zhou; Zhiwen Xie; Penghui Xie; Jimmy Xiangji Huang

doi:10.1109/taslp.2024.3485500

ScienceGate Book Chapters

JOURNAL ARTICLE

Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning

Pengfei Li Guangyou Zhou Zhiwen Xie Penghui Xie Jimmy Xiangji Huang

Year: 2024 Journal: IEEE/ACM Transactions on Audio Speech and Language Processing Vol: 32 Pages: 4741-4754 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/taslp.2024.3485500

Get Full-Text PDF Get Analytical Report

Keywords:

Extrapolation Computer science Graph Opportunistic reasoning Model-based reasoning Qualitative reasoning Knowledge graph Knowledge representation and reasoning Artificial intelligence Machine learning Theoretical computer science Mathematics

Metrics

Cited By

4.47

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning

Metrics

Citation History

Topics

Related Documents

Temporal Knowledge Graph Reasoning Based on Dynamic Fusion Representation Learning

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning

Learning Description-Based Representations for Temporal Knowledge Graph Reasoning via Attentive CNN

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning