Isaac Yeboah, Joshua Okyere, Desmond Klu, Pascal Agbadi, Martin Wiredu Agyekum
Individual and community-level factors associated with repeat induced abortion among women in Ghana: a multivariable complex sample logistic regression analysis of 2017 Ghana maternal health survey
BMC public health
graph representation complex materials plays crucial role field inorganic organic materials investigations developing datacentric materials science using graph neural networks gnns however currently prevalent gnn models primarily employed investigating periodic crystals organic small molecule data yet still encounter challenges terms interpretability computational efficiency applied polymer monomers organic macromolecules data still lack graph representation organic polymers macromolecules specifically tailored gnn models explore structural characteristics polymerunit graph novel coarsegrained graph representation method introduced study dedicated expressing analyzing polymers macromolecules incorporating polymerunit graph gnn models analyzing organic semiconductor osc materials database becomes possible uncover intricate structureproperty relationships involving branchedchain engineering fluoridation substitution donoracceptor combination effects elementary structure osc polymers furthermore polymerunit graph enables visualizing relationship target properties polymer units reducing training time impressive 98 minimizing molecular graph representation models conclusion polymerunit graph successfully integrates concept polymerunit field gnns enabling accurate analysis understanding organic polymers macromolecules