Multi-Scale Spatial-Temporal Transformer: A Novel Framework for Spatial-Temporal Edge Data Prediction

Article Geography, Physical

A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

Wei Han et al.

Summary: Due to limited resources and environmental pollution, monitoring the geological environment has become essential for sustainable development. Remote sensing of the geological environment (GERS) provides an efficient and low-cost method for identifying geological elements. The integration of advanced machine learning and deep learning methods with multi-source RS images for GERS interpretation has achieved remarkable breakthroughs, but a systematic survey of these advances is lacking.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2023)

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Article Computer Science, Artificial Intelligence

Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction

Xue Ye et al.

Summary: Accurate traffic prediction is crucial for intelligent transportation systems. This paper introduces a novel framework called Meta Graph Transformer (MGT) to address this challenge. The MGT framework utilizes attention layers and spatial-temporal embeddings to model the complex dynamics and heterogeneity of traffic. Experimental results demonstrate the superiority of this model over other state-of-the-art methods.

NEUROCOMPUTING (2022)

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Article Computer Science, Artificial Intelligence

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

Shengnan Guo et al.

Summary: Accurate traffic forecasting is crucial for intelligent transportation systems, but it still faces challenges in modeling the dynamics of traffic data and capturing the periodicity and spatial heterogeneity. In this paper, an Attention based Spatial-Temporal Graph Neural Network (ASTGNN) is proposed to overcome these challenges, and experimental results show that ASTGNN outperforms existing baselines.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

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Article Engineering, Civil