Sparse neural networks can achieve performance comparable to fully connected networks
but need less energy and memory, showing great promise for deploying artificial intelligence …

Signed Graph Neural Networks (SGNNs) have recently gained attention as an effective tool
for several learning tasks on signed networks, ie, graphs where edges have an associated …

Organizational networks are often hierarchical by nature as individuals take on roles or
functions at various job levels. Prior studies have used either text-level (eg, sentiment, affect) …

Abstract" Recent improvements in information and communication technologies have
contributed to an increasingly globalized and connected world. The digital data that are …

Network analysis provides valuable theoretical and methodological approaches to
investigate complex systems of social-technical relations. Network analysis has been …