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Akademický článek

The crystal structure of catena-poly[diaqua-m2-dicyanido-κ2 C:N-dicyanido-κ1 C-bis(4-(pyridin-4-yl)benzaldehyde-κ1N)iron(II)-platinum(II), C28H22N6O4PtFe

Autor: Lu Jitao, Wu Xiaolin, Zhang Youwei, Xiao Yufang

Publikováno v: Zeitschrift für Kristallographie - New Crystal Structures, Vol 238, Iss 4, Pp 675-677 (2023)

(C28H22N6O4PtFe)n, triclinic, P 1‾ $\overline{1}$ (no. 2), a = 7.9137(6) Å, b = 8.5766(13) Å, c = 10.970(3) Å, α = 70.266(19)° $70.266(19){}^{\circ}$ , β = 81.258(14)° $81.258(14){}^{\circ}$ , γ = 78.728(11)° $78.728(11){}^{\circ}$ , V =

Externí odkaz: https://doaj.org/article/ad56948cb71248289e9887256119d786

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Simple Multigraph Convolution Networks

Autor: Wu, Danyang, Shen, Xinjie, Lu, Jitao, Xu, Jin, Nie, Feiping

Existing multigraph convolution methods either ignore the cross-view interaction among multiple graphs, or induce extremely high computational cost due to standard cross-view polynomial operators. To alleviate this problem, this paper proposes a Simp

Externí odkaz: http://arxiv.org/abs/2403.05014

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Akademický článek

Crystal structure of (dimethylformamide-κO)(perchlorato-κ2O,O′){μ2-6,6′-((1,2-phenylenebis(azanylylidene))bis(methanylylidene))bis(4-bromo-2-methoxyphenolate)-κ8N,N′,O:O,O′:O′,O′′,O′′′}sodium(I)nickel(II), C25H23Br2ClN3NaNiO9

Autor: Meng Qingguo, Yue Chen, Yu Jiangkun, Liu Qingyun, Lu Jitao

Publikováno v: Zeitschrift für Kristallographie - New Crystal Structures, Vol 233, Iss 3, Pp 409-411 (2018)

C25H23Br2ClN3NaNiO9, monoclinic, P21/n (no. 14), a = 15.595(4) Å, b = 10.993(3) Å, c = 18.660(5) Å, β = 114.536(4), V = 2910.2(14) Å3, Z = 4, Rgt(F) = 0.0390, wRref(F2) = 0.0998, T = 293 K.

Externí odkaz: https://doaj.org/article/3914691eda2e4f4085c9547f8e2f7b7a

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NP$^2$L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks

Autor: Shen, Xinjie, Wu, Danyang, Lu, Jitao, Liang, Junjie, Xu, Jin, Nie, Feiping

How to utilize the pseudo labels has always been a research hotspot in machine learning. However, most methods use pseudo labels as supervised training, and lack of valid assessing for their accuracy. Moreover, applications of pseudo labels in graph

Externí odkaz: http://arxiv.org/abs/2310.01098

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