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cs.LG2022
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction
Jianzhong Qi, Zhuowei Zhao, Egemen Tanin +3
Traffic prediction is an important and yet highly challenging problem due to the complexity and constantly changing nature of traffic systems. To address the challenges, we propose…
cs.LG2022★ 7 cited
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekara +1
Graph problems such as traveling salesman problem, or finding minimal Steiner trees are widely studied and used in data engineering and computer science. Typically, in real-world a…