Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private ...

A call graph depicts calling relationships between subroutines in a computer program. Call graphs can be employed to perform a variety of tasks, such as profiling [1], vulnerability propagation [2], ...

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Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Abstract: Graph-structured data applications promote the development of Graph Neural Networks (GNN) in recent years. Due to privacy concerns, collecting graph data stored in massive client devices for ...

I successfully uploaded a file to SharePoint using the office365.graph_client library in Python. However, on subsequent attempts, I encountered the error: "TypeError ...

An increasingly popular method for representing data in a graph structure is the usage of knowledge graphs (KGs). A KG is a group of triples (s, p, o), where s (subject) and o (object) are two graph ...

Mark Twain once wrote, “There are three kinds of lies: lies, damned lies, and statistics.” (He attributed the quip to former British prime minister Benjamin Disraeli, but its true origin is unknown.) ...