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; Peter J. Mucha; Michael W. Mahoney (CoRR, 2014)

Generative Benchmark Models for Mesoscale Structures in Multilayer Networks. - Marya Bazzi; Lucas G. S. Jeub; Alex Arenas; Sam D. Howison; Mason A. Porter (CoRR, 2016)

Multiresolution Consensus Clustering in Networks. - Lucas G. S. Jeub; Olaf Sporns; Santo Fortunato (CoRR, 2017)

A local perspective on community structure in multilayer networks. - Lucas G. S. Jeub; Michael W. Mahoney; Peter J. Mucha; Mason A. Porter (Netw. Sci., 2017)

Weight Thresholding on Complex Networks. - Xiaoran Yan; Lucas G. S. Jeub; Alessandro Flammini; Filippo Radicchi; Santo Fortunato (CoRR, 2018)

Local2Global: Scaling global representation learning on graphs via local training. - Lucas G. S. Jeub; Giovanni Colavizza; Xiaowen Dong 001; Marya Bazzi; Mihai Cucuringu (CoRR, 2021)

Local2Global: a distributed approach for scaling representation learning on graphs. - Lucas G. S. Jeub; Giovanni Colavizza; Xiaowen Dong 001; Marya Bazzi; Mihai Cucuringu (Mach. Learn., 2023)

Raphtory: The temporal graph engine for Rust and Python. - Benjamin A. Steer; Naomi A. Arnold; Cheick Tidiane Ba; Renaud Lambiotte; Haaroon Yousaf; Lucas Jeub; Fabian Murariu; Shivam Kapoor; Pedro Rico 001; Rachel Chan; Louis Chan; James Alford; et al. (J. Open Source Softw., 2024)