Overview: Compares the leading Python frameworks for building autonomous AI agents in 2026.Explains where LangGraph, CrewAI, Microsoft Agent Framework, Go ...
Abstract: The ubiquity of Graph Neural Networks (GNNs) emphasizes the imperative to assess their resilience against node injection attacks, a type of evasion attacks that impact victim models by ...
Abstract: Attributed graphs have an additional sign vector for each node. Typically, edge signs represent like or dislike relationship between the node pairs. This has applications in domains, such as ...
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 project uses spatio-temporal graph neural networks to perform weather forecasting on ERA5 reanalysis data. The model treats the global weather system as a graph where each grid point is a node ...
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