CogDL
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About
CogDL is an extensive Toolkit for Graph Neural Networks, which provides lots of effective and efficient solutions for real-world problems especially those involved in large-scale data. It utilizes well-optimized operators to speed up training and save GPU memory of GNN models. CogDL provides easy-to-use APIs for running experiments with the given models and datasets using hyper-parameter search. It integrates a unified trainer with decoupled modules for efficient GNN training. The design of CogDL makes it easy to apply GNN models to new scenarios based on our framework. CogDL provides reproducible leaderboards for state-of-the-art models on most of important tasks in the graph domain.
Platform
Task
Features
• ease of use
• extensibility
• high efficiency
• reproducibility
• unified trainer
Pricing Plans
Free
Free PlanJob Opportunities
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