2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models
Haji Gul, Abul Ghani Naim, Ajaz Ahmad Bhat
Knowledge Graphs (KGs) enable applications in various domains such as semantic search, recommendation systems, and natural language processing. KGs are often incomplete, missing en…
MuCoS: Efficient Drug Target Discovery via Multi Context Aware Sampling in Knowledge Graphs
Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
Accurate prediction of drug target interactions is critical for accelerating drug discovery and elucidating complex biological mechanisms. In this work, we frame drug target predic…
MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion
Haji Gul, Ajaz Ahmad Bhat, Abdul Ghani Haji Naim
Knowledge graph completion (KGC) seeks to predict missing entities (e.g., heads or tails) or relationships in knowledge graphs (KGs), which often contain incomplete data. Tradition…
A Contextualized BERT model for Knowledge Graph Completion
Haji Gul, Abdul Ghani Naim, Ajaz A. Bhat
Knowledge graphs (KGs) are valuable for representing structured, interconnected information across domains, enabling tasks like semantic search, recommendation systems and inferenc…