Framework Agnostic

Build your models with PyTorch, TensorFlow or Apache MXNet.
 

Efficient and Scalable

Fast and memory-efficient message passing primitives for training Graph Neural Networks. Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure.
 

Diverse Ecosystem

DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others.