A research team led by Potsdam-based bioinformatician Prof. Dr. Zoran Nikoloski has developed a computational approach and an ...
Three LangChain flaws enable data theft across LLM apps, affecting millions of deployments, exposing secrets and files.
Abstract: This study proposes a learner profile model based on knowledge graphs to enhance personalized learning in network marketing education. By integrating curriculum and individual learner ...
Abstract: The State Transition Graph (STG) Multiplier is a high-performance digital circuit architecture designed to efficiently handle large-scale multiplication operations by leveraging state ...
This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...
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