Graph Neural Networks (GNNs) show great power in Knowledge Graph Completion (KGC) as they can handle non-Euclidean graph structures and do not depend on the specific shape or topology of the graph.

Accurate and reliable pedestrian trajectory prediction can reduce the risk of human-vehicle collisions and predict accidents in advance, which is crucial for developing autonomous driving and ...

The interaction between circular RNAs (circRNAs) and RNA-binding proteins (RBPs) plays a crucial role in gene regulation; however, experimental identification is costly and inefficient. Current ...

Small non-coding RNAs, such as miRNAs, function as sequence-specific inhibitors of mRNA activity, modulating post-transcriptional processes and influencing both mRNA stability and translation ...

In this work, we have employed a combined density functional theory (DFT)-Monte Carlo (MC) approach to produce structural models of Co nanoparticles (NPs), widely employed in the Fischer–Tropsch (FT) ...