CogDL is an extensive toolkit designed for Graph Neural Networks, providing a variety of effective solutions for real-world problems, especially those involving large-scale data. It is characterized by high efficiency, ease of use, and extensibility. CogDL is built to accelerate the training of GNN models with optimized operators, user-friendly APIs for experimentation, and offers reproducible leaderboards for benchmarks in the graph domain. The toolkit allows users to prepare their data while CogDL handles the rest, making it suitable for various applications in the field of graph analysis.
• ease of use
• extensibility
• high efficiency
• reproducibility
• unified trainer
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