Tag: complex networks

Before several days of market instability, trading activity in certain participant groups tended to fluctuate more on the Tokyo Stock ...

Computer scientists have developed DyGraphSage, an enhanced graph neural network framework that combines GraphSAGE with temporal recurrent units and adaptive ...

A cross-sectional resting-state fMRI study revealed that patients with focal-only temporal lobe epilepsy exhibit localized limbic decoupling alongside shared disruptions ...

Researchers integrated a mixture of truncated zeta distributions into the heterogeneous mean-field epidemic framework to more accurately model disease spread ...

A degree–distance centroid method enhances community detection in complex networks by balancing node degree and shortest-path distances.

A simulation study reveals that targeting just two supervisory hub nodes can trigger cascading failures across pumped storage power station ...

Researchers developed an energy-weighted visibility-graph method that accurately delineates rockburst hazard zones and identifies pre-event temporal warnings in deep coal ...

Researchers have introduced SetMo, an algorithm that combines depth-first enumeration with g-trie structures to accelerate network motif discovery across user-defined ...

A hybrid framework combining graph diffusion convolution with GraphSAGE improves inductive link prediction across diverse benchmark networks by capturing long-range ...

Researchers have established the NP-hardness of Partition Difference Maximization in complex networks and developed two approximation algorithms with instance-dependent performance ...