GitHub topics: graph-recommendations
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: Python - Size: 23.8 MB - Last synced at: 19 days ago - Pushed at: almost 2 years ago - Stars: 138 - Forks: 20

DavidZWZ/LightGODE
[CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
Language: Python - Size: 5.71 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 5 - Forks: 1

YuanchenBei/MacGNN
The source code of MacGNN, The Web Conference 2024.
Language: Python - Size: 1.35 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 42 - Forks: 2

srinathsai/Personalized-page-rank-for-Movie-Recommendations
Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

bitasha/GRank
Language: R - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

YuanchenBei/NRCGI
The source code of NRCGI (Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, CIKM2023).
Language: Python - Size: 33.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
