Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Abstract: Graph learning methods have achieved remarkable performance in various domains such as social recommendation, financial fraud detection, and so on. In real applications, the underlying graph ...

Many developers share their LeetCode solutions on GitHub. Look for repositories that are well-organized by topic or problem number, have clear explanations, and show good code quality. Some popular ...

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What just happened? Elon Musk's xAI has introduced an agentic coding model aimed at delivering speed and cost efficiency for software development tasks. Called Grok Code Fast 1, the model is built on ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

In this tutorial, we explore how we can build a fully functional conversational AI agent from scratch using the Pipecat framework. We walk through setting up a Pipeline that links together custom ...

Sustainable agricultural inputs are essential for enhancing food security, promoting development, and ensuring resilience in rapidly emerging economies; however, studies utilizing the advanced ...

Large Language Models (LLMs) have emerged as personalized assistants for users across a wide range of tasks – from offering writing support to delivering tailored recommendations or consultations.

Abstract: Dynamic graphs, which capture time-evolving edges between nodes, are formulated in continuous-time or discrete-time dynamic graphs. They differ in temporal granularity: Continuous-Time ...