François Théberge

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 35

Top Topics

Complex Networks

Community Detection

Top Venues

J. Complex Networks

COMPLEX NETWORKS (2)

Publications

Bogumil Kaminski, Pawel Misiorek, Pawel Pralat, François Théberge
Modularity Based Community Detection in Hypergraphs. CoRR (2024)
Ashkan Dehghan, Pawel Pralat, François Théberge
Network Embedding Exploration Tool (NEExT). WAW (2024)
Bogumil Kaminski, Pawel Pralat, François Théberge, Sebastian Zajac
Predicting properties of nodes via community-aware features. Soc. Netw. Anal. Min. 14 (1) (2024)
Jordan Barrett, Bogumil Kaminski, Pawel Pralat, François Théberge
Self-similarity of Communities of the ABCD Model. WAW (2024)
Bogumil Kaminski, Pawel Pralat, François Théberge
Hypergraph Artificial Benchmark for Community Detection (h-ABCD). J. Complex Networks 11 (4) (2023)
Bogumil Kaminski, Pawel Pralat, François Théberge, Sebastian Zajac
Predicting Properties of Nodes via Community-Aware Features. CoRR (2023)
Bogumil Kaminski, Pawel Misiorek, Pawel Pralat, François Théberge
Modularity Based Community Detection in Hypergraphs. WAW (2023)
Jordan Barrett, Bogumil Kaminski, Pawel Pralat, François Théberge
Self-similarity of Communities of the ABCD Model. CoRR (2023)
Bogumil Kaminski, Pawel Pralat, François Théberge, Sebastian Zajac
Classification Supported by Community-Aware Node Features. COMPLEX NETWORKS (2) (2023)
Bogumil Kaminski, Pawel Pralat, François Théberge
Artificial Benchmark for Community Detection with Outliers (ABCD+o). CoRR (2023)
Bogumil Kaminski, Pawel Pralat, François Théberge
Artificial benchmark for community detection with outliers (ABCD+o). Appl. Netw. Sci. 8 (1) (2023)
Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge
Modularity of the ABCD Random Graph Model with Community Structure. CoRR (2022)
Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge
Modularity of the ABCD random graph model with community structure. J. Complex Networks 10 (6) (2022)
Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge
A multi-purposed unsupervised framework for comparing embeddings of undirected and directed graphs. Netw. Sci. 10 (4) (2022)
Arash Dehghan-Kooshkghazi, Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge
Evaluating node embeddings of complex networks. J. Complex Networks 10 (4) (2022)
Bogumil Kaminski, Pawel Pralat, François Théberge
Hypergraph Artificial Benchmark for Community Detection (h-ABCD). CoRR (2022)
Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge
Modularity of the ABCD Random Graph Model with Community Structure. COMPLEX NETWORKS (2) (2022)
Bogumil Kaminski, Tomasz Olczak, Bartosz Pankratz, Pawel Pralat, François Théberge
Properties and Performance of the ABCDe Random Graph Model with Community Structure. CoRR (2022)
Bogumil Kaminski, Tomasz Olczak, Bartosz Pankratz, Pawel Pralat, François Théberge
Properties and Performance of the ABCDe Random Graph Model with Community Structure. Big Data Res. 30 (2022)
Bogumil Kaminski, Pawel Pralat, François Théberge
Outliers in the ABCD Random Graph Model with Community Structure (ABCD+o). COMPLEX NETWORKS (2) (2022)
Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge
Survey of Generative Methods for Social Media Analysis. CoRR (2021)
Valérie Poulin, François Théberge
Comparing Graph Clusterings: Set Partition Measures vs. Graph-Aware Measures. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Arash Dehghan-Kooshkghazi, Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge
Evaluating Node Embeddings of Complex Networks. CoRR (2021)
Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs. CoRR (2021)
Bogumil Kaminski, Pawel Pralat, François Théberge
Artificial Benchmark for Community Detection (ABCD) - Fast random graph model with community structure. Netw. Sci. 9 (2) (2021)
Bogumil Kaminski, Pawel Pralat, François Théberge
An unsupervised framework for comparing graph embeddings. J. Complex Networks 8 (5) (2021)
Bogumil Kaminski, Pawel Pralat, François Théberge
Community Detection Algorithm Using Hypergraph Modularity. COMPLEX NETWORKS (1) (2020)
Bogumil Kaminski, Pawel Pralat, François Théberge
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure. CoRR (2020)
Bogumil Kaminski, Pawel Pralat, François Théberge
A Scalable Unsupervised Framework for Comparing Graph Embeddings. WAW (2020)
Valérie Poulin, François Théberge
Ensemble Clustering for Graphs: Comparisons and Applications. CoRR (2019)
Valérie Poulin, François Théberge
Ensemble clustering for graphs: comparisons and applications. Appl. Netw. Sci. 4 (1) (2019)
Bogumil Kaminski, Pawel Pralat, François Théberge
An Unsupervised Framework for Comparing Graph Embeddings. CoRR (2019)
Valérie Poulin, François Théberge
Ensemble Clustering for Graphs. CoRR (2018)
Valérie Poulin, François Théberge
Comparing Graph Clusterings: Set partition measures vs. Graph-aware measures. CoRR (2018)
Valérie Poulin, François Théberge
Ensemble Clustering for Graphs. COMPLEX NETWORKS (1) (2018)
Christopher F. Freiling, Douglas S. Jungreis, François Théberge, Kenneth Zeger
Almost all complete binary prefix codes have a self-synchronizing string. IEEE Trans. Inf. Theory 49 (9) (2003)
François Théberge, Alain Simonian, Ravi Mazumdar
Upper bounds for blocking probabilities in large multi-rate loss networks. Telecommun. Syst. 9 (1) (1998)
Nikolay B. Likhanov, Ravi Mazumdar, François Théberge
Calculating Cell Loss Probabilities for ON-OFF Sources in Large Unbuffered Systems. ICC (2) (1997)
François Théberge, Ravi Mazumdar
Approximation Formulae for Blocking Probabilities in a Large Erlang Loss System: A Probabilistic Approach. INFOCOM (1995)