Approximation Formulae for Blocking Probabilities in a Large Erlang Loss System: A Probabilistic Approach. - François Théberge; Ravi Mazumdar (INFOCOM, 1995)

Calculating Cell Loss Probabilities for ON-OFF Sources in Large Unbuffered Systems. - Nikolay B. Likhanov; Ravi Mazumdar; François Théberge (ICC (2), 1997)

Upper bounds for blocking probabilities in large multi-rate loss networks. - François Théberge; Alain Simonian; Ravi Mazumdar (Telecommun. Syst., 1998)

Almost all complete binary prefix codes have a self-synchronizing string. - Christopher F. Freiling; Douglas S. Jungreis; François Théberge; Kenneth Zeger (IEEE Trans. Inf. Theory, 2003)

Ensemble Clustering for Graphs. - Valérie Poulin; François Théberge (COMPLEX NETWORKS (1), 2018)

Ensemble clustering for graphs: comparisons and applications. - Valérie Poulin; François Théberge (Appl. Netw. Sci., 2019)

Community Detection Algorithm Using Hypergraph Modularity. - Bogumil Kaminski; Pawel Pralat; François Théberge (COMPLEX NETWORKS (1), 2020)

A Scalable Unsupervised Framework for Comparing Graph Embeddings. - Bogumil Kaminski; Pawel Pralat; François Théberge (WAW, 2020)

An unsupervised framework for comparing graph embeddings. - Bogumil Kaminski; Pawel Pralat; François Théberge (J. Complex Networks, 2021)

Survey of Generative Methods for Social Media Analysis. - Stan Matwin; Aristides Milios; Pawel Pralat; Amílcar Soares 001; François Théberge (CoRR, 2021)

Artificial Benchmark for Community Detection (ABCD) - Fast random graph model with community structure. - Bogumil Kaminski; Pawel Pralat; François Théberge (Netw. Sci., 2021)

Comparing Graph Clusterings: Set Partition Measures vs. Graph-Aware Measures. - Valérie Poulin; François Théberge (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Outliers in the ABCD Random Graph Model with Community Structure (ABCD+o). - Bogumil Kaminski; Pawel Pralat; François Théberge (COMPLEX NETWORKS (2), 2022)

Properties and Performance of the ABCDe Random Graph Model with Community Structure. - Bogumil Kaminski; Tomasz Olczak; Bartosz Pankratz; Pawel Pralat; François Théberge (Big Data Res., 2022)

Evaluating node embeddings of complex networks. - Arash Dehghan-Kooshkghazi; Bogumil Kaminski; Lukasz Krainski; Pawel Pralat; François Théberge (J. Complex Networks, 2022)

Modularity of the ABCD random graph model with community structure. - Bogumil Kaminski; Bartosz Pankratz; Pawel Pralat; François Théberge (J. Complex Networks, 2022)

A multi-purposed unsupervised framework for comparing embeddings of undirected and directed graphs. - Bogumil Kaminski; Lukasz Krainski; Pawel Pralat; François Théberge (Netw. Sci., 2022)

Classification Supported by Community-Aware Node Features. - Bogumil Kaminski; Pawel Pralat; François Théberge; Sebastian Zajac (COMPLEX NETWORKS (2), 2023)

Generative Methods for Social Media Analysis - Stan Matwin; Aristides Milios; Pawel Pralat; Amílcar Soares 001; François Théberge (Springer, 2023)

Hypergraph Artificial Benchmark for Community Detection (h-ABCD). - Bogumil Kaminski; Pawel Pralat; François Théberge (J. Complex Networks, 2023)

Artificial benchmark for community detection with outliers (ABCD+o). - Bogumil Kaminski; Pawel Pralat; François Théberge (Appl. Netw. Sci., 2023)

Network Embedding Exploration Tool (NEExT). - Ashkan Dehghan; Pawel Pralat; François Théberge (WAW, 2024)

Modularity based community detection in hypergraphs. - Bogumil Kaminski; Pawel Misiorek; Pawel Pralat; François Théberge (J. Complex Networks, 2024)

Counting simplicial pairs in hypergraphs. - Jordan Barrett; Pawel Pralat; Aaron Smith; François Théberge (CoRR, 2024)

Predicting properties of nodes via community-aware features. - Bogumil Kaminski; Pawel Pralat; François Théberge; Sebastian Zajac (Soc. Netw. Anal. Min., 2024)

Improving Community Detection via Community Association Strength Scores. - Jordan Barrett; Ryan DeWolfe; Bogumil Kaminski; Pawel Pralat; Aaron Smith; François Théberge (WAW, 2025)

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities ($ mathbf {ABCD{+}o}^2$). - Jordan Barrett; Ryan DeWolfe; Bogumil Kaminski; Pawel Pralat; Aaron Smith; François Théberge (WAW, 2025)

The Multilayer Artificial Benchmark for Community Detection (mABCD). - Piotr Bródka; Michal Czuba; Bogumil Kaminski; Lukasz Krainski; Pawel Pralat; François Théberge (WAW, 2025)

Self-similarity of communities of the ABCD model. - Jordan Barrett; Bogumil Kaminski; Pawel Pralat; François Théberge (Theor. Comput. Sci., 2025)

Detecting Patterns of Interaction in Temporal Hypergraphs via Edge Clustering. - Ryan DeWolfe; François Théberge (CoRR, 2025)

The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+o2). - Jordan Barrett; Ryan DeWolfe; Bogumil Kaminski; Pawel Pralat; Aaron Smith; François Théberge (CoRR, 2025)