Abstract: Federated Graph Learning (FGL) facilitates cooperative training on distributed clients for semi-supervised classification tasks. However, many existing FGL frameworks overlook the missing ...

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 ...

This groundbreaking Software Development Kit offers a new approach to digital twin creation, combining an innovative in-memory, graph-based architecture with native Python integration. TwinGraph© SDK ...

To convert LinkedIn followers into paying clients, create content that deeply resonates by making prospects feel understood. Share their specific pain points, offer unique solutions, provide tangible ...

We used an 80:20 split ratio for generating the training and test datasets for both fingerprints. We implemented Support Vector Machine (SVM), Artificial Neural ...

Building a chatbot can feel like an overwhelming task, especially when you’re juggling multiple tools and trying to ensure everything works seamlessly. If you’ve ever found yourself stuck between ...

LangGraph 0.3 introduces prebuilt AI agents, enhancing its framework for developers. This update, supported by tech giants, aims to simplify AI agent creation and foster community contributions.

This document gives advices to create a good blog post on the Python Graph Gallery. See a good example here. There is a section about libraries with link to the matplotlib, seaborn or plotly parent ...

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