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20212026
most citedOn the Evolution of Neuron Communities in a Deep Learning Architecture

2 citations · 2 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

Language-encoded network topology enables large language models to reason about complex networks

Ucchwas Talukder Utsha, Sakib Mostafa, James Zou +1

Networks describe systems in biology and beyond, from protein interactions and social relationships to power grids and citation records. Reasoning about such systems requires under…

cs.LG2026

Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis

Yuwei Xue, Sakib Mostafa, James Zou +5

Biological systems are governed by structured molecular interactions, where pathways, regulatory circuits, and functional gene relationships shape cellular behavior and disease pro…

cs.LG2026

Toward a universal foundation model for graph-structured data

Sakib Mostafa, Lei Xing, Md. Tauhidul Islam

Graphs are a central representation in biomedical research, capturing molecular interaction networks, gene regulatory circuits, cell--cell communication maps, and knowledge graphs.…

cs.LG2026

Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography

Sakib Mostafa, Tarik Massoud, Maximilian Diehn +2

Tabular data are central to biomedical research, from liquid biopsy and bulk and single-cell transcriptomics to electronic health records and phenotypic profiling. Unlike images or…

cs.LG2025

Transformation of Biological Networks into Images via Semantic Cartography for Visual Interpretation and Scalable Deep Analysis

Sakib Mostafa, Lei Xing, Md. Tauhidul Islam

Complex biological networks are fundamental to biomedical science, capturing interactions among molecules, cells, genes, and tissues. Deciphering these networks is critical for und…

cs.LG20212 cited

On the Evolution of Neuron Communities in a Deep Learning Architecture

Sakib Mostafa, Debajyoti Mondal

Deep learning techniques are increasingly being adopted for classification tasks over the past decade, yet explaining how deep learning architectures can achieve state-of-the-art p…