Yao, C., Li, D., Fang, S., & Li, J. (2026). Interpretable Urban Building Energy Modeling by Heterogeneous Graph Neural Networks: A Case Study of Residential Blocks in Wuhan. Buildings (2075-5309), 16(11), 2270. https://doi.org/10.3390/buildings16112270
Chicago Style (17th ed.) CitationYao, Chuyue, Dan Li, Sitao Fang, and Jingyi Li. "Interpretable Urban Building Energy Modeling by Heterogeneous Graph Neural Networks: A Case Study of Residential Blocks in Wuhan." Buildings (2075-5309) 16, no. 11 (2026): 2270. https://doi.org/10.3390/buildings16112270.
MLA (9th ed.) CitationYao, Chuyue, et al. "Interpretable Urban Building Energy Modeling by Heterogeneous Graph Neural Networks: A Case Study of Residential Blocks in Wuhan." Buildings (2075-5309), vol. 16, no. 11, 2026, p. 2270, https://doi.org/10.3390/buildings16112270.