21 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 21 cited
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi +11
With the rapid development of online services, recommender systems (RS) have become increasingly indispensable for mitigating information overload. Despite remarkable progress, con…
cs.LG2023★ 2 cited
FMGNN: Fused Manifold Graph Neural Network
Cheng Deng, Fan Xu, Jiaxing Ding +3
Graph representation learning has been widely studied and demonstrated effectiveness in various graph tasks. Most existing works embed graph data in the Euclidean space, while rece…
cs.MA2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning
Liheng Chen, Hongyi Guo, Yali Du +7
In many real-world problems, a team of agents need to collaborate to maximize the common reward. Although existing works formulate this problem into a centralized learning with dec…