Tingyu Wang authored a comprehensive RAPIDS Support Notice in the rapidsai/docs repository, documenting the removal of the cugraph-ops package and the migration of key graph components. Using Markdown and leveraging strong documentation skills, Tingyu clarified the rationale behind these changes, including the integration of graph sampling code into cuGraph and the transfer of equivariant neural network primitives to BioNeMo. The work detailed the impact on GNN convolutional layers within cuGraph’s DGL and PyG modules, providing clear migration guidance for downstream teams. This focused, high-impact documentation enabled cross-team alignment and supported the modernization of RAPIDS graph tooling.