YAO Z, CHEN M, LIU C, MENG X, ZHAN Y, WU J, PAN S, XU H und HU W, 2026. DA-Mo E: Addressing depth-sensitivity in graph-level analysis through mixture of experts. Neural networks : the official journal of the International Neural Network Society. 1 Februar 2026. Vol. 194, , p. 108064-108064. DOI 10.1016/j.neunet.2025.108064.
Elsevier - Harvard (with titles)Yao Z, Chen M, Liu C, Meng X, Zhan Y, Wu J, Pan S, Xu H, Hu W, 2026. DA-Mo E: Addressing depth-sensitivity in graph-level analysis through mixture of experts. Neural networks : the official journal of the International Neural Network Society 194, 108064-108064. https://doi.org/10.1016/j.neunet.2025.108064
American Psychological Association 7th editionYao Z, Chen M, Liu C, Meng X, Zhan Y, Wu J, Pan S, Xu H, & Hu W. (2026). DA-Mo E: Addressing depth-sensitivity in graph-level analysis through mixture of experts. Neural Networks : The Official Journal of the International Neural Network Society, 194, 108064-108064. https://doi.org/10.1016/j.neunet.2025.108064
Springer - Basic (author-date)Yao Z, Chen M, Liu C, Meng X, Zhan Y, Wu J, Pan S, Xu H, Hu W (2026) DA-Mo E: Addressing depth-sensitivity in graph-level analysis through mixture of experts.. Neural networks : the official journal of the International Neural Network Society 194:108064-108064. https://doi.org/10.1016/j.neunet.2025.108064
Juristische Zitierweise (Stüber) (Deutsch)Yao Z/ Chen M/ Liu C/ Meng X/ Zhan Y/ Wu J/ Pan S/ Xu H/ Hu W, DA-Mo E: Addressing depth-sensitivity in graph-level analysis through mixture of experts., Neural networks : the official journal of the International Neural Network Society 2026, 108064-108064.