This paper introduces the GCN-Transformer model, an innovative approach that combines Graph Convolutional Networks (GCNs) and Transformer architectures to enhance spatiotemporal sequence prediction. Targeted at applications requiring precise analysis of complex spatial and temporal data, the model was tested on two distinct datasets: PeMSD8 for traffic flow and KnowAir for air quality monitoring. The GCN-Transformer demonstrated superior performance over traditional models such as LSTMs, standalone GCNs, and other GCN-hybrid models, evidenced by its lower Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). An ablation study confirmed the importance of each component within the model, showing that removing elements like GCN layers, Transformer layers, attention mechanisms, or positional encoding detrimentally impacts performance. Overall, the GCN-Transformer model offers significant theoretical and practical contributions to the field of spatiotemporal data analysis, with potential applications across traffic management, environmental monitoring, and beyond.

Yuan Zhao

Junlin Lu

International Journal of Computers Communications & Control

International Journal of Computers Communications & Control is directed to the international communities of scientific researchers in computers, communications and control, from the universities, research units and industry. To differentiate from other similar journals, the editorial policy of IJCCC encourages the submission of original scientific papers that focus on the integration of the 3 "C" (Computing, Communications, Control).

In particular, the following topics are expected to be addressed by authors:
(1) Integrated solutions in computer-based control and communications;
(2) Computational intelligence methods & Soft computing (with particular emphasis on fuzzy logic-based methods, computing with words, ANN, evolutionary computing, collective/swarm intelligence);
(3) Advanced decision support systems (with particular emphasis on the usage of combined solvers and/or web technologies).

The International Journal of Computers, Communications and Control serves the international community of scientific researchers in the fields of computers, communications, and control, including universities, research institutions, and industry. To distinguish itself from other similar journals, IJCCC encourages the submission of original scientific papers that focus on the integration of the three "C"s: Computing, Communications, and Control.\n\nIn particular, authors are expected to address the following topics: \n(1) Integrated solutions in computer-based control and communications; \n(2) Computational intelligence methods and soft computing (with a particular emphasis on fuzzy logic-based methods, computing with words, artificial neural networks, evolutionary computing, and collective/swarm intelligence); \n(3) Advanced decision support systems (with a particular emphasis on the use of combined solvers and/or web technologies).

《International Journal of Computers, Communications and Control》旨在服务于计算机、通信和控制领域的国际科学研究社区，包括大学、研究机构和工业界。为了与其他类似期刊区分开来，IJCCC的编辑政策鼓励提交原创科学论文，重点关注三者的整合：计算、通信和控制。\n\n特别地，作者应关注以下主题：\n(1) 基于计算机的控制和通信的集成解决方案；\n(2) 计算智能方法与软计算（特别强调模糊逻辑方法、词汇计算、人工神经网络、进化计算、集体/群体智能）；\n(3) 高级决策支持系统（特别强调结合求解器和/或网络技术的使用）。

Category	Quartile
计算机科学	4
计算机科学, 自动化与控制系统	4
计算机科学, 计算机信息系统	4

Spatiotemporal Sequence Prediction Based on Spatiotemporal Self-Attention Mechanism

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	3