140 citations · 289 across the 8 of their papers we have counts for
9 papers
Raphtory: The temporal graph engine for Rust and Python
Ben Steer, Naomi Arnold, Cheick Tidiane Ba +15
Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their…
Local2Global: A distributed approach for scaling representation learning on graphs
Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong +2
We propose a decentralised "local2global"' approach to graph representation learning, that one can a-priori use to scale any embedding technique. Our local2global approach proceeds…
Local2Global: Scaling global representation learning on graphs via local training
Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong +2
We propose a decentralised "local2global" approach to graph representation learning, that one can a-priori use to scale any embedding technique. Our local2global approach proceeds…
From subcritical behavior to elusive transitions in rumor models
Guilherme Ferraz de Arruda, Lucas G. S. Jeub, Angélica S. Mata +2
Rumor and information spreading are natural processes that emerge from human-to-human interaction. Mathematically, this was explored in the popular Maki-Thompson model, where a pha…
Weight Thresholding on Complex Networks
Xiaoran Yan, Lucas G. S. Jeub, Alessandro Flammini +2
Weight thresholding is a simple technique that aims at reducing the number of edges in weighted networks that are otherwise too dense for the application of standard graph theoreti…
Multiresolution Consensus Clustering in Networks
Lucas G. S. Jeub, Olaf Sporns, Santo Fortunato
Networks often exhibit structure at disparate scales. We propose a method for identifying community structure at different scales based on multiresolution modularity and consensus…
A Framework for the Construction of Generative Models for Mesoscale Structure in Multilayer Networks
Marya Bazzi, Lucas G. S. Jeub, Alex Arenas +2
Multilayer networks allow one to represent diverse and coupled connectivity patterns --- e.g., time-dependence, multiple subsystems, or both --- that arise in many applications and…
A Local Perspective on Community Structure in Multilayer Networks
Lucas G. S. Jeub, Michael W. Mahoney, Peter J. Mucha +1
The analysis of multilayer networks is among the most active areas of network science, and there are now several methods to detect dense "communities" of nodes in multilayer networ…
Think Locally, Act Locally: The Detection of Small, Medium-Sized, and Large Communities in Large Networks
Lucas G. S. Jeub, Prakash Balachandran, Mason A. Porter +2
It is common in the study of networks to investigate meso-scale features to try to gain an understanding of network structure and function. For example, numerous algorithms have be…