most citedFMGNN: Fused Manifold Graph Neural Network

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

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.IT2022

Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach

Naifu Zhang, Meixia Tao, Jia Wang +1

One of the main focuses in distributed learning is communication efficiency, since model aggregation at each round of training can consist of millions to billions of parameters. Se…