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Big Data and Multi-modal Computing Group, CRIPAC

Big Data and Multi-modal Computing Group, Center for Research on Intelligent Perception and Computing

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  1. SR-GNN SR-GNN Public archive

    [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

    Python 851 275

  2. TextING TextING Public

    [ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

    Python 182 56

  3. H-GCN H-GCN Public

    [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

    Python 126 26

  4. GRACE GRACE Public

    [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

    Python 356 58

  5. NGNN NGNN Public

    [WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"

    Python 83 27

  6. Fi_GNN Fi_GNN Public

    [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

    88 27

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