17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.DS2021
Active clustering for labeling training data
Quentin Lutz, Élie de Panafieu, Alex Scott +1
Gathering training data is a key step of any supervised learning task, and it is both critical and expensive. Critical, because the quantity and quality of the training data has a…
cs.SI2020★ 17 cited
Scikit-network: Graph Analysis in Python
Thomas Bonald, Nathan de Lara, Quentin Lutz +1
Scikit-network is a Python package inspired by scikit-learn for the analysis of large graphs. Graphs are represented by their adjacency matrix in the sparse CSR format of SciPy. Th…