no code implementations • 6 Jul 2023 • Mengyan Wang, Yuxuan Hu, Zihan Yuan, Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai
This approach endeavors to transcend the constraints of the filter bubble, enrich recommendation diversity, and strike a belief balance among users while also catering to user preferences and system-specific business requirements.
1 code implementation • 30 Mar 2022 • Soyeon Caren Han, Zihan Yuan, Kunze Wang, Siqu Long, Josiah Poon
Graph Convolutional Networks (GCN) have been effective at tasks that have rich relational structure and can preserve global structure information of a dataset in graph embeddings.