Abstract: This article introduces a novel approach to data structure visualization through the development of a new programming language, utilizing Python’s Lex-YACC library for lexical analysis and ...

AI has changed the way searching happens—and that, in turn, has changed how discovery works. With tools like Perplexity, ChatGPT, and Gemini, the way they crawl the web is completely different from ...

Abstract: Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of ...

GUI design can be a tedious job, requiring the use of specialist design tools and finding a suitable library that fits your use case. If you’re looking for a lightweight solution, though, you might ...

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 ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Companies that harness their data effectively can predict market trends, enhance customer experiences, and drive innovation. In this way, data is the secret ingredient to business success. In today’s ...

1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. The cost and strict input format requirements of GraphRAG make it less ...