Higher-order networks represent a significant advancement in the study of complex systems, moving beyond traditional pairwise interactions to encompass more intricate relationships among multiple ...

The present project will focus on the mathematical investigation of the interplay between study structure and dynamics of higher-order networks with applications to biological systems. Depending on ...

Tested with recent version of Python3, should work with recent version of Python2. The workflow to construct the higher-order network is as follows: given the raw sequential data, we first decide ...

One significant area of research is the dynamics on higher-order networks, which are essential for accurately modeling group interactions. Traditional networks, which only account for pairwise ...

This will train a new model for 50 epochs, using ground truth 2D detections. If you want to try different network settings, please refer to main_gcn.py for more details. Note that the default setting ...

Yet with the mathematical techniques applied in previous studies, researchers have not confirmed whether network models incorporating these higher-order interactions between three or more brain ...

Abstract: Designing algorithms that generate networks with a given degree sequence while varying both subgraph composition and distribution of subgraphs around nodes is an important but challenging ...