Multi-hop assortativities for networks classification. - Leonardo Gutiérrez-Gómez; Jean-Charles Delvenne (CoRR, 2018)

Unsupervised network embeddings with node identity awareness. - Leonardo Gutiérrez-Gómez; Jean-Charles Delvenne (Appl. Netw. Sci., 2019)

Multi-hop assortativities for network classification. - Leonardo Gutiérrez-Gómez; Jean-Charles Delvenne (J. Complex Networks, 2019)

Unsupervised Network Embedding for Graph Visualization, Clustering and Classification. - Leonardo Gutiérrez-Gómez; Jean-Charles Delvenne (CoRR, 2019)

Multi-Scale Anomaly Detection on Attributed Networks. - Leonardo Gutiérrez-Gómez; Alexandre Bovet; Jean-Charles Delvenne (AAAI, 2020)

A Comparison Framework of Machine Learning Algorithms for Mixed-Type Variables Datasets: A Case Study on Tire-Performances Prediction. - Leonardo Gutiérrez-Gómez; Frank Petry; Djamel Khadraoui (IEEE Access, 2020)

Anomaly Detection on Networks is a Question of Context and Scale. - Leonardo Gutiérrez-Gómez; Alexandre Bovet; Jean-Charles Delvenne (ERCIM News, 2020)