ChebNet

ChebNet, or Chebyshev Network, is a type of machine learning model designed to analyze data that is structured like a network or graph—such as social networks, transportation maps, or molecular structures. It uses mathematical functions called Chebyshev polynomials to efficiently process information across the graph, capturing relationships between connected nodes without needing to examine the entire network at once. This approach enables the model to understand complex patterns and make predictions quickly, making it valuable in applications like recommendation systems, traffic forecasting, and biological analysis.