Shypd.aiThe largest open index of AI toolsefficient-gnns is an Academic Research tool that provides resources and implementations for scalable and efficient Graph Neural Networks (GNNs). It focuses on knowledge distillation techniques to develop resource-efficient GNNs.
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efficient-gnns is a comprehensive repository offering code and resources for developing scalable and efficient Graph Neural Networks (GNNs). It specifically focuses on knowledge distillation techniques, including novel approaches like Graph Contrastive Representation Distillation, to create resource-efficient GNNs. The repository benchmarks various distillation methods, such as Local Structure Preserving loss and Global Structure Preserving loss, alongside baselines like Logit-based KD. It supports research on large-scale, real-world graph datasets for tasks like graph classification on MOLHIV and node classification on ARXIV and MAG, providing installation and usage instructions for researchers and developers in the field.
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