LightGCN에서 성능 개선을 목표로 자료 조사 중에 LightGCN을 그대로 사용하면서, node의 feature 정보를 활용한 논문을 발견하여 간단히 리뷰해 본다. 논문 링크: https://ieeexplore.ieee.org/document/9361663 Light Graph Convolutional Collaborative Filtering With Multi-Aspect Information The personalized recommendation has become increasingly prevalent in real-world applications, to help users in discovering items of interest. Graph Convolutional Network (..

출처:https://arxiv.org/abs/2002.02126 LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are not well understood. Existing work that adapts GCN to recommendation lacks thorough ablation arxiv.org ABSTACT GCN은 col..