The analogy of mitochondria as powerhouses has expired. Mitochondria are living, dynamic,
maternally inherited, energy-transforming, biosynthetic, and signaling organelles that …

Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …

Unravelling the relationships between network complexity and stability under changing
climate is a challenging topic in theoretical ecology that remains understudied in the field of …

Abstract We present the Open Graph Benchmark (OGB), a diverse set of challenging and
realistic benchmark datasets to facilitate scalable, robust, and reproducible graph machine …

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Thousands of unique non-coding RNA (ncRNA) sequences exist within cells. Work from the
past decade has altered our perception of ncRNAs from'junk'transcriptional products to …

Global insights into cellular organization and genome function require comprehensive
understanding of the interactome networks that mediate genotype–phenotype relationships …

In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

Abstract miRNet is an easy-to-use, web-based platform designed to help elucidate
microRNA (miRNA) functions by integrating users' data with existing knowledge via network …