The pre-training of the graph neural network model is to learn the general characteristics of
large-scale graphs or the similar type of graphs usually through a self-supervised method, …

Self-supervised learning on graphs has recently drawn a lot of attention due to its independence
from labels and its robustness in representation. Current studies on this topic mainly …

In response to challenges such as the rapid rise of water content, the rapid decline of periodic
production, and the serious intrusion of edge and bottom water in heavy oil reservoirs after …

Self-supervised learning on graphs has recently drawn a lot of attention due to its independence
from labels and its robustness in representation. Current studies on this topic mainly …

This study aimed at evaluate the effects of different aperture-sized type I collagen/silk fibroin
(CSF) scaffolds on the proliferation and differentiation of human dental pulp cells (HDPCs). …

The orchids usually coexist with mycorrhizal fungi during their growth and development.
Numerous studies have substantiated the pivotal regulatory role of Tulasnella sp. mycorrhizal …

… This study addresses these gaps by employing Linpu Village in Fuzhou, in southeastern …
details the specific cultural landscape genes of Linpu Village. It demonstrates how these genes …

The geological structure of interbedded shale oil reservoirs is complex, later characterized
by high reservoir heterogeneity and diverse reservoir spaces. These distinctive features are …

Reliable hand mesh reconstruction (HMR) from commonly-used color and depth sensors is
challenging especially under scenarios with varied illuminations and fast motions. Event …

… of the Linpu was the largest, that is, the effect of high lake flood discharge on reducing the
flood level of Linpu was greatly reduced; (3) When Puyang Jiang … of Puyang Jiang River under …