Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
Published in Information Sciences Journal, 2024
Recommended citation: Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo, "Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios." Information Sciences 677 (2024): 120911.
Download Paper | Download Slides