Abstract: Node and graph-level clustering hold considerable significance for a wide range of applications, including drug target identification and protein function prediction. Recently, contrastive ...

Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...