Abstract: Graph convolutional networks (GCNs) have become a powerful deep learning approach for graph-structured data. Different from traditional neural networks such as convolutional neural networks, ...
DC unveiled a 3D graphene nanomaterial at CES 2026 designed to improve fast charging, power output, and battery cycle life.
Based on InfraNodus AI text analysis and visualization tool, this plugin visualizes the content of Obsidian vaults as a knowledge graph, retrieves the main topical clusters, most important ideas, and ...
Abstract: Environment representations endowed with sophisticated semantics are pivotal for facilitating seamless interaction between robots and humans, enabling them to effectively carry out various ...
Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, and workflow without added complexit ...
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Mastering least squares fit and graphing in Python
Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts! ...
GMatch4py is a library dedicated to graph matching. Graph structure are stored in NetworkX graph objects. GMatch4py algorithms were implemented with Cython to enhance performance.
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