Knowledge Graphs are considered as a set of data points associated with relations to describe the domains such as an organization, business or academics. They have a potential role to bridge the semantic gap between unstructured and structured information and fostered new research directions, tasks with new possibilities to represent, query, visualize, interact and make more understandable information. Knowledge Graphs are powerful to representing data in search and recommendation systems that explored new insights about the domain. Recently, Knowledge Graphs gain popularity with deep learning and graph embedding. This special issue has been organized to invite the extended version of KGSWC-2021 conference accepted papers.