As a Graduate Student Assistant for ACO 430: Wireless Networks & Security at Arizona State University, I was challenged to look at a traditional network analysis project through a new lens. The ...

In the rapidly evolving world of artificial intelligence and natural language processing, retrieval-augmented generation (RAG) has become a game-changer. However, traditional RAG systems, while ...

GraphBin-Tk combines the assembly graph-based metagenomic bin-refinement and binning techniques of GraphBin, GraphBin2 and MetaCoAG along with additional processing functionalities to visualise and ...

We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis subjects based on their cumulative signs and symptoms. The electronic medical records of 113 subjects with ...

Lung Cancer Diagnosed Through Screening, Lung Nodule, and Neither Program: A Prospective Observational Study of the Detecting Early Lung Cancer (DELUGE) in the Mississippi Delta Cohort Of 323 included ...

Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorithms suffer from ...

Heterogeneous catalysis plays a pivotal role in the welfare of the society by impacting sectors ranging from sustainable energy generation and storage to synthesis of fine chemicals to food production ...