Tag: dynamic networks

Researchers have introduced a fused lasso exponential random graph model that detects periods of parameter stability and abrupt structural changes ...

A structure-coefficient theorem unifies the effects of network changes, strategy updates and mutation, and identifies dynamic core–periphery networks as promoting ...

Researchers have applied a krill herd optimization algorithm to software-defined network clustering, reporting significant gains in latency, cluster separation, and ...

Researchers have developed DCM-Net, a dual conditional modulation graph attention network that adapts both its input features and its own ...

Researchers have developed S²DNet, a dynamic spectral–structural framework that adapts feature extraction and fusion to each scene, improving remote sensing ...

Researchers in China have developed a detection method that combines temporal knowledge graphs, time-series tensors, and a variational autoencoder paired ...