graph-learn
Graph-Learn, previously AliGraph, is a distributed framework designed for developing large-scale graph neural networks. Utilized in applications like search recommendations and network security at Alibaba, it combines online inference services with training, providing a full solution for GNN deployments in commercial contexts. GraphLearn-Training enables graph sampling and GNN model training with interfaces in Python and C++, supporting TensorFlow and PyTorch. The Dynamic-Graph-Service offers real-time sampling with latency assurances on dynamic graphs, advancing online inference potential.
