3 papers
cs.LG2025
Graph Learning
Feng Xia, Ciyuan Peng, Jing Ren +5
Graph learning has rapidly evolved into a critical subfield of machine learning and artificial intelligence (AI). Its development began with early graph-theoretic methods, gaining…
cs.LG2025
Deep Learning for Time Series Forecasting: A Survey
Xiangjie Kong, Zhenghao Chen, Weiyao Liu +6
Time series forecasting (TSF) has long been a crucial task in both industry and daily life. Most classical statistical models may have certain limitations when applied to practical…
cs.LG2024
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Wenchao Weng, Mei Wu, Hanyu Jiang +3
In recent years, deep learning has increasingly gained attention in the field of traffic prediction. Existing traffic prediction models often rely on GCNs or attention mechanisms w…