Mapping higher-order network flows in memory and multilayer networks
with Infomap

v1v2 (latest)

Mapping higher-order network flows in memory and multilayer networks with Infomap

15 June 2017

ArXiv (abs)PDF HTML

Papers citing "Mapping higher-order network flows in memory and multilayer networks with Infomap"

8 / 8 papers shown

Title
FlowHON: Representing Flow Fields Using Higher-Order Networks Nan Chen Zhihong Li Jun Tao 13 0 0 04 Dec 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 95 1 0 02 Oct 2023
Module-based regularization improves Gaussian graphical models when observing noisy data Magnus Neuman J. Calatayud Viktor Tasselius M. Rosvall 46 1 0 29 Mar 2023
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs Luka V. Petrović Vincenzo Perri 42 0 0 16 Jan 2023
Cognitive modelling with multilayer networks: Insights, advancements and future challenges Massimo Stella Salvatore Citraro Giulio Rossetti Daniele Marinazzo Yoed N. Kenett M. Vitevitch 75 1 0 02 Oct 2022
An adaptation of InfoMap to absorbing random walks using absorption-scaled graphs Esteban Vargas Bernal M. A. Porter J. Tien 56 0 0 21 Dec 2021
Predicting Influential Higher-Order Patterns in Temporal Network Data Christoph Gote Vincenzo Perri Ingo Scholtes AI4TS 15 2 0 26 Jul 2021
The Minimum Description Length Principle for Pattern Mining: A Survey E. Galbrun AI4TS 80 24 0 28 Jul 2020