Spectral-Based Graph Neural Networks for Complementary Item Recommendation

no code implementations • 4 Jan 2024 • Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang

In this study, we present a novel approach called Spectral-based Complementary Graph Neural Networks (SComGNN) that utilizes the spectral properties of complementary item graphs.

Attribute Recommendation Systems