2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking
Haji Gul, Ajaz Ahmad Bhat
Evaluating Knowledge Graph Completion (KGC) models remains challenging because standard assessment relies on isolated rank-based metrics such as MRR, Hitsk, and Mean Rank, which…
Evaluating Cumulative Spectral Gradient as a Complexity Measure
Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat
Accurate estimation of dataset complexity is crucial for evaluating and comparing link prediction models for knowledge graphs (KGs). The Cumulative Spectral Gradient (CSG) metric d…
Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction
Haji Gul, Abul Ghani Naim, Ajaz Ahmad Bhat
Understanding dataset complexity is fundamental to evaluating and comparing link prediction models on knowledge graphs (KGs). While the Cumulative Spectral Gradient (CSG) metric, d…
MuCoS: Efficient Drug-Target Prediction through Multi-Context-Aware Sampling
Haji Gul, Abdul Gani Haji Naim, Ajaz A. Bhat
Drug-target interactions are critical for understanding biological processes and advancing drug discovery. However, traditional methods such as ComplEx-SE, TransE, and DistMult str…