HSMH: A Hierarchical Sequence Multi-Hop Reasoning Model With Reinforcement Learning

Wang, Dan; Li, Bo; Song, Bin; Chen, Chen; Yu, F. Richard

doi:10.1109/tkde.2023.3303617

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2024

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Cited by 3 publications

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Causal Inference KGC: A Multi-Hop Reasoning Framework Over Sparse Knowledge Graph

Shen,

Du,

2024

2024 11th International Conference on Behavioural and Social Computing (BESC)

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Causal Inference KGC: A Multi-Hop Reasoning Framework Over Sparse Knowledge Graph

Shen,

Du,

2024

2024 11th International Conference on Behavioural and Social Computing (BESC)

View full text Add to dashboard Cite

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network

Chen,

Cao,

Feng

et al. 2024

IEEE Trans. Knowl. Data Eng.

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Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications

Meng,

Zhou,

Chen

et al. 2024

ACM Trans. Knowl. Discov. Data

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The knowledge graph (KG) is an efficient form of knowledge organization and expression, providing prior knowledge support for various downstream tasks, and has received extensive attention in natural language processing. However, existing large-scale KGs have many hidden facts that need to be discovered. How to effectively use the structure information of KG is an important research direction of knowledge reasoning. Structure-Information-based reasoning over the knowledge graph is a technique used to find the missing facts by the structure information of KG. This survey summarizes the methods and applications of Structure-Information-based reasoning and hopes to be helpful to the research in this field. First, we introduced the definition of knowledge reasoning and the conceptual description of related tasks. Then, we reviewed the methods of Structure-Information-based reasoning. Specifically, we categorized them into four representative classes: PRA-based reasoning, Path-Embedding-based reasoning, RL-based reasoning, and GNN-based reasoning. We compared the motivations and details between practices in the same category. After that, we described the application of Structure-Information-based knowledge reasoning in the Knowledge Graph Completion, Question Answering System, Recommendation System, and other fields. Finally, we discussed the future research directions of Structure-Information-based reasoning.

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HSMH: A Hierarchical Sequence Multi-Hop Reasoning Model With Reinforcement Learning

Cited by 3 publications

References 33 publications

Causal Inference KGC: A Multi-Hop Reasoning Framework Over Sparse Knowledge Graph

Causal Inference KGC: A Multi-Hop Reasoning Framework Over Sparse Knowledge Graph

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network

Structure-Information-Based Reasoning over the Knowledge Graph: A Survey of Methods and Applications

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