CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
One-Shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding
Sun, Jian1,2; Zhou, Yu1,2,3; Zong, Chengqing1,2
Source PublicationACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING
ISSN2375-4699
2022-05-01
Volume21Issue:3Pages:19
Abstract

The relation learning between two entities is an essential task in knowledge graph (KG) completion that has received much attention recently. Previous work almost exclusively focused on relations widely seen in the original KGs, which means that enough training data are available for modeling. However, long-tail relations that only show in a few triples are actually much more common in practical KGs. Without sufficiently large training data, the performance of existing models on predicting long-tail relations drops impressively. This work aims to predict the relation under a challenging setting where only one instance is available for training. We propose a path-based one-shot relation prediction framework, which can extract neighborhood information of an entity based on the relation query attention mechanism to learn transferable knowledge among the same relation. Simultaneously, to reduce the impact of long-tail entities on relation prediction, we selectively fuse path information between entity pairs as auxiliary information of relation features. Experiments in three one-shot relation learning datasets show that our proposed framework substantially outperforms existing models on one-shot link prediction and relation prediction.

KeywordOne-shot learning relation learning knowledge graph completion
DOI10.1145/3484729
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000778450600010
PublisherASSOC COMPUTING MACHINERY
Sub direction classification自然语言处理
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48268
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorSun, Jian
Affiliation1.School of Artificial Intelligence, University of Chinese Academy of Sciences
2.National Laboratory of Pattern Recognition, Institute of Automation, CAS
3.Beijing Fanyu Technology Co., Ltd, Beijing China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Sun, Jian,Zhou, Yu,Zong, Chengqing. One-Shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding[J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,2022,21(3):19.
APA Sun, Jian,Zhou, Yu,&Zong, Chengqing.(2022).One-Shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding.ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,21(3),19.
MLA Sun, Jian,et al."One-Shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding".ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 21.3(2022):19.
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