Nov 14, 2022 · In this paper, we explore the rich, heterogeneous relationship among items and propose a new KG-enhanced recommendation model called Collaborative Meta- ...

PRELIMINARIES. This section gives the required preliminaries for MetaKRec. , including the problem formulation and graph neural network. A. Problem Formulation.

Nov 22, 2022 · Knowledge graph (KG) enhanced recommendation has demonstrated improved performance in the recommendation system (RecSys) and attracted ...

A PyTorch and pyg implementation for the IEEE BigData paper below: MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.

Knowledge graph (KG) enhanced recommendation has demonstrated improvedperformance in the recommendation system (RecSys) and attracted considerableresearch ...

Dec 5, 2024 · MetaKRec [58] builds Meta-KGs based on the knowledge extracted from both KG and interaction data and incorporates collaborative signals through ...

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System ... To fill this gap, in this paper, we explore the rich, heterogeneous relationship among ...

Mar 4, 2024 · This research explores the diversified RecSys within the intricate context of knowledge graphs (KG). These KGs act as repositories of interconnected ...

We present a novel Knowledge-enhanced Heterogeneous Hypergraph Recommender System (KHGRec). KHGRec captures group-wise characteristics of both the interaction ...

Nov 14, 2022 · 构建的Meta-KGs 可以从知识图谱和用户偏好中获取知识。此外。我们利用光卷积编码器递归地整合每个协作Meta-KG 中的项目关系。该方案允许我们明确地收集 ...