Title
Exploring Self-Supervised Graph Learning in Literature-Based Discovery
Abstract
Literature-Based Discovery (LBD) aims to find associations, as one or more connecting concepts, of two “unrelated” concepts hidden in the literature. The most recent studies fulfilled the task by learning the representations of the concepts and using the representations’ similarities to decide whether a connecting concept is a reasonable one. However, these approaches cannot handle “complex” assoc...
Year
DOI
Venue
2021
10.1109/ICHI52183.2021.00021
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)
Keywords
DocType
ISBN
Training,Conferences,Neural networks,Medical services,Cost function,Task analysis,Informatics
Conference
978-1-6654-0132-6
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Juncheng Ding100.68
Wei Jin28325.25