My research interests encompass knowledge graphs (KG) and complex and social network analysis, including knowledge-
edge graph completion (KGC), link prediction (LP), graph clustering, natural language processing (NLP), and
recommendation systems, with a focus on their applications in pattern recognition and complex network analysis.
I focus on two main issues: knowledge graph completion and link prediction, both of which have been thoroughly
researched and have resulted in numerous information prediction methods. I aim to enhance my knowledge in these
areas by developing innovative algorithms that leverage techniques like GNNs and ML for tasks like KG completion
and other challenges in NLP and KG domains.