most citedLearning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks

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

collaborators

2 papers

cs.LG2023

BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs

Loc Hoang, Rita Brugarolas Brufau, Ke Ding +1

We present BatchGNN, a distributed CPU system that showcases techniques that can be used to efficiently train GNNs on terabyte-sized graphs. It reduces communication overhead with…

cs.LG2023★ 2 cited

Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks

Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio +4

Reduced-order models based on physics are a popular choice in cardiovascular modeling due to their efficiency, but they may experience reduced accuracy when working with anatomies…