Knowledge Representation Learning with Entities, Attributes and Relations
By Yankai Lin, Zhiyuan Liu, Maosong Sun. 2016
117 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shaoxiong Ji
- Shirui Pan
- Zequn Sun
- Vincent Wenchen Zheng
- Philip S. Yu
- Hongyun Cai
- Erik Cambria
- Wei Hu
Citations in the corpus
- A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2017, background): “KR-EAR [144] distinguishes the relations in a knowledge graph as attribute-based and relation-based.”
- Knowledge Graph Embedding: A Survey of Approaches and Applications (2017, background): “A similar idea was later studied in a translational distancemodel [114].”
- Bootstrapping Entity Alignment with Knowledge Graph Embedding (2018, background): “KR-EAR [Lin et al. , 2016] introduces categorical attributes (e.g., gender ).”
- Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding (2017, methodology): “KR-EAR [14] embeds attributes additionally by modeling attribute correlations and obtains good results on predicting entities, relationships and attributes.”
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2020, methodology): “Noticing that some relations indicate attributes of entities, KR-EAR [61] categorizes relation types into attributes and relations and modeled the correlations between entity descriptions.”
- Knowledge Graph Completion: A Review (2020, background): “For specific application, knowledge graph completion includes link prediction [11]–[13], entity prediction [14]–[16], relation prediction [17], attribute prediction [18] and other sub-tasks.”
- A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal (2022, unknown): “Facts # Test Facts ATOMIC [205] 304,388 9 610,536 87,700 87,701 Countries [206] 271 2 1,110 24 24 CoDEX-S [207] 2,034 42 32,888 3,654 3656 CoDEX-M [207] 17,050 51 185,584 20620 20622 CoDEX-L [207] 77,951 69 551,193 30,622 30622 ConceptNet [208] 28,370,083 50 27,259,933 3,407,492 3,407,492 ConceptNet”