Multi-hop path reasoning over sparse temporal knowledge graphs based on path completion and reward shaping
Authors:
- Xiangxi MengXMXiangxi Meng
- Luyi BaiLBLuyi Bai
- Jiahui HuJHJiahui Hu
- Lin ZhuLZLin Zhu
- 11 December 2023
- journal article
- research article
- Published by Elsevier in Information Processing & Management
- Vol. 61 (2)
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities (2023GFYD003)
- National Natural Science Foundation of China (61402087)
- Natural Science Foundation of Hebei Province (F2022501015)
This publication has 8 references indexed in Scilit:
- IMF: Interpretable Multi-Hop Forecasting on Temporal Knowledge GraphsEntropy, 2023
- RLAT: Multi-hop temporal knowledge graph reasoning based on Reinforcement Learning and Attention MechanismKnowledge-Based Systems, 2023
- Iterative rule-guided reasoning over sparse knowledge graphs with deep reinforcement learningInformation Processing & Management, 2022
- RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learningApplied Intelligence, 2021
- Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learningApplied Soft Computing, 2021
- Research on Distributed Search Technology of Multiple Data Sources Intelligent Information Based on Knowledge GraphJournal of Signal Processing Systems, 2020
- Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph2020
- Learning Sequence Encoders for Temporal Knowledge Graph Completion2018