Graph wavelets are mathematical tools that extend the concept of wavelets to data structured in the form of graphs, allowing for effective multi-scale analysis and processing of graph signals. By providing localized frequency information on graphs, they enable applications such as graph-based data compression, signal denoising, and network analysis.