CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation

doi:10.1016/j.neucom.2025.130952

CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation

2025-07-08

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DOI：10.1016/j.neucom.2025.130952

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• Introduce a novel multi-granularity cascading graph convolutional network. • Propose a behavior consistency-guided alignment strategy to maintain both intra- and inter-behavior consistency. • Conduct extensive experiments on four real-world datasets to examine model’s effectiveness.

Keywords:

multi-granularity

cascading graph convolutional network

behavior consistency

alignment strategy

real-world datasets

CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation

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