graphsmoothness
Graph smoothness refers to a property of functions defined on graphs, indicating how much the function's values change between adjacent vertices. A smooth function on a graph has similar values for neighboring nodes, while a non-smooth function can exhibit large jumps. This concept is crucial in various fields, including signal processing, machine learning, and network analysis.
Measuring graph smoothness often involves quantifying the difference between function values at connected nodes. Common measures
Applications of graph smoothness are widespread. In image processing, smoothing a function defined on pixels (a