Showing 1-5 of 5 projects
A distributed graph deep learning framework for building graph-based AI models and applications.
An efficient and flexible graph learning framework based on PaddlePaddle, with support for heterogeneous graphs and meta-path learning.
An industrial-grade graph neural network framework for building large-scale graph-based AI applications.
A high-performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
A library for training neural models with structured signals, useful for AI and machine learning developers.
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