The graph attention network and its post-hoc explanation for recognizing mineralization-related geochemical anomalies

• Published in: Applied geochemistry Vol. 155; p. 105722
• Main Authors: Xu, Ying, Zuo, Renguang, Zhang, Gubin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2023
• Subjects: Deep learning; Geochemical anomalies; GNNExplainer; Gold mineralization; Graph attention network; Geochemical anomalies; Deep learning; Gold mineralization; Graph attention network; GNNExplainer
• ISSN: 0883-2927; 1872-9134
• DOI: 10.1016/j.apgeochem.2023.105722

Deep learning algorithms have become a cutting-edge technology for mining geochemical survey data to identify geochemical patterns related to mineralization. Similarities in the origins of the same types of mineral deposits may result in similarities in the observed geochemical anomalies to some ext...