Source Themes

ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA–disease associations in heterogeneous graphs.

ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA–disease associations in heterogeneous graphs.

Laiyi Fu, Zhiyuan Yao, Yangyi Zhou, Qinke Peng, Hongqiang Lyu

The vast majority of somatic mutations in plants are layer-specific.

The vast majority of somatic mutations in plants are layer-specific.

Goel M, Campoy JA, Krause K, Baus LC, Sahu A, Sun H, Walkemeier B, Marek M, Beaudry R, Ruiz D, Huettel B, Schneeberger K.

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering

Danyang Wu, Penglei Wang, Junjie Liang, Jitao Lu, Jin Xu*, Rong Wang, Feiping Nie