# Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/knowledge-transfer-for-out-of-knowledge-base-entities-a-graph-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Takuo Hamaguchi,Hidekazu Oiwa,Masashi Shimbo,Yūji Matsumoto |
| Citations | 298 |
| DOI | 10.24963/ijcai.2017/250 |
| Fields | Computer Science,Decision Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.ijcai.org/proceedings/2017/0250.pdf |
| OpenAlex ID | https://openalex.org/W2963406064 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Yūji Matsumoto](https://scholariq.org/researchers/yuji-matsumoto-2/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Data Quality and Management](https://scholariq.org/topics/data-quality-and-management/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.