graph-recommendations

There are 7 repositories under graph-recommendations topic.

  • HaSai666/rec_pangu

    rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

    Language:Python15610919

  • YuanchenBei/MacGNN

    The source code of MacGNN, The Web Conference 2024.

    Language:Python51235

  • zilliz-bootcamp/graph_based_recommend

    This project uses graph convolutional neural networks to generate embeddings, and then uses Milvus retrieval to implement a recommendation system. It provides flask services and a front-end interface.

    Language:Python8311

  • YuanchenBei/NRCGI

    The source code of NRCGI (Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, CIKM2023).

    Language:Python5100

  • YuanchenBei/FlatGCN

    This is the official Pytorch-version code of FlatGCN (Flattened Graph Convolutional Networks for Recommendation, DLP-KDD 2022).

    Language:Python2202

  • bitasha/GRank

    Language:R1101

  • srinathsai/Personalized-page-rank-for-Movie-Recommendations

    Language:Jupyter Notebook10