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

From the 1 of 2 linked papers with an AI index.

collaborators

2 papers

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…

cs.AI2026

LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model

Xiangyu Li, Tianyi Wang, Xi Cheng +5

Accurate classification of autonomous vehicle (AV) driving behaviors is critical for safety validation, performance diagnosis, and traffic integration analysis. However, existing a…