Search Results for author:
Found 6 papers, 1 papers with code
Knowledge Graph Alignment with Entity-Pair Embedding
Recently, a number of embedding-based approaches for KG alignment have been proposed and achieved promising results.
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks.
MAssistant: A Personal Knowledge Assistant for MOOC Learners
Massive Open Online Courses (MOOCs) have developed rapidly and attracted large number of learners.
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
Embeddings can be learned from both the structural and attribute information of entities, and the results of structure embedding and attribute embedding are combined to get accurate alignments.
Ranked #5 on
Entity Alignment
on YAGO-WIKI50K
Knowledge Graph Embedding with Numeric Attributes of Entities
Knowledge Graph (KG) embedding projects entities and relations into low dimensional vector space, which has been successfully applied in KG completion task.
RDF2Rules: Learning Rules from RDF Knowledge Bases by Mining Frequent Predicate Cycles
Recently, several large-scale RDF knowledge bases have been built and applied in many knowledge-based applications.
