The problem of studying how to capture as many parking infringements as possible in a limited time is called Traveling Officer Problem (TOP), which is a variant ...
We study four classical graph problems -- Hamiltonian path, Traveling salesman, Minimum spanning tree, and Minimum perfect matching on geometric graphs ...
According to the parking information provided by the traffic management system, we propose a Dynamic Graph. Attention Network (DGAT) to address this problem.
May 15, 2023 · The Traveling Salesman Problem is a classic problem in computer science with a variety of real-world applications in logistics and genetics.
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Peng, Dynamic graph attention network for traveling officer problem, in 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1–7 ...
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Dynamic Graph Attention Network For Traveling Officer Problem. Conference Paper. Jul 2022. Rongsheng Zhang · Cai Yang · Xinxin Peng · View · FADACS: A Few-Shot ...
Jan 13, 2022 · In this paper, we propose a novel architecture named Graph Temporal Attention with Reinforcement Learning (GTA-RL) to learn heuristic solutions for graph-based ...
In this paper, we try to solve the LSTF problem with multi- graph neural networks. We propose two new graphs to extract heuristic knowledge and contextual ...
We propose Disentangled Intervention-based Dynamic Graph Attention Networks (DIDA), which can handle spatio-temporal distribution shifts in dynamic graphs. This ...
We propose a deep learning-based model called the multi-task dynamic spatio-temporal graph attention network (MT-DSTGAN).