activity
20242026
most citedLorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics

6 citations · 8 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

ArticleMiner: Ontology-Guided Knowledge Graph Construction from Scientific Publications

Md Abrar Jahin, Craig A. Knoblock, Jay Pujara

Scientific papers keep much of their quantitative content in tables and supplementary files, where a number means something only through its header, caption, unit, analytical metho…

cs.LG2026

Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1

Uncertain knowledge graphs (UKGs) extend knowledge graphs by assigning each triple a continuous confidence score. Since most possible triples lack observed confidences, recent meth…

cs.CL2026

GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Grounding

Md Abrar Jahin, Md Rizwan Parvez

Computer-use agents ground natural-language instructions in screenshots to locate interface elements, yet existing benchmarks do not isolate whether models bind relational language…

cs.LG2026

A Weisfeiler-Leman Characterization of Global-Attention Graph Transformers for Mixed-Integer Linear Programs

Md Abrar Jahin, Craig A. Knoblock, Jay Pujara

Graph foundation models (GFMs) with global attention are increasingly used to represent mixed-integer linear programs (MILPs), aiming to capture structure beyond the locality of st…

cs.LG2025

HeteRo-Select: Informativeness as the Participation Driver in Heterogeneous Federated Learning

Md. Akmol Masud, Md Abrar Jahin, Mahmud Hasan

Federated learning systems typically allocate gradient compression by link speed. This is sensible when bandwidth and data informativeness align. However, under non-IID data, these…

cs.AI2024★ 2 cited

A Unified Framework for Evaluating and Enhancing the Transparency of Explainable AI Methods via Perturbation-Gradient Consensus Attribution

Md. Ariful Islam, Md Abrar Jahin, M. F. Mridha +1

Explainable Artificial Intelligence (XAI) methods are increasingly used in safety-critical domains, yet there is no unified framework to jointly evaluate fidelity, interpretability…