CogDL
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About
CogDL is an extensive toolkit specifically designed for Graph Neural Networks (GNNs). It provides a comprehensive suite of effective and efficient solutions for real-world problems, particularly those involving large-scale data. Key features include high efficiency through optimized operators, ease of use with simple APIs for experiments and hyper-parameter search, and strong reproducibility with leaderboards for state-of-the-art models. CogDL also integrates a unified trainer with decoupled modules for efficient GNN training and boasts high extensibility, making it easy to adapt GNN models to new scenarios. It is widely adopted, evidenced by over 35,987 total downloads and 1,800+ GitHub stars, indicating its robust community support and practical utility in the graph domain.
Platform
Task
Features
• extensibility
• high efficiency
• reproducibility
• easy-to-use
• a unified trainer
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