Ke Liu

works on

attention mechanisms 1 clustering 1 efficient inference 1 graph neural networks 1 traffic forecasting 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting

Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7

The paper introduces EMAGN, a graph neural network that uses learned clustering to linearize multi-head attention, enabling scalable traffic forecasting with reduced computation an…