CogDL is a graph deep learning toolkit that provides optimized operators and easy-to-use APIs for training GNN models on tasks including node classification, graph classification, and link prediction. Built on PyTorch, it enables researchers to easily run experiments with baseline or custom models using hyperparameter search, and supports extensibility for applying graph neural networks to new scenarios.