Softwares

Open-source Projects

  1. All open-source code for publications

    [website]

  2. OpenHGNN

    OpenHGNN is an open source heterogeneous graph neural network toolkit based on Deep Graph Library (DGL) and PyTorch, which integrates SOTA models for heterogeneous graphs. OpenHGNN provides easy-to-use and extensible APIs, helping researchers and engineers to conduct research and applications on heterogeneous graphs fast.

    [website]

  3. GammaGL

    GammaGL is a multi-backend library for Graph Neural Networks, which supports TensorFlow, PyTorch, PaddlePaddle and MindSpore. Users can run the same code on different deep learning backends and use tensor-centric programming style like Pytorch Geometric (PyG).

    [website]

  4. iGraph

    iGraph is an interactive agent system designed for graph data analysis, built upon Large Language Models, the MCP tool protocol, and graph computing services. iGraph decouples LLM-based planning and decision-making from graph algorithm execution, enabling researchers and engineers to conduct graph data exploration and analysis more efficiently.

    [website]