activity
20182022
most citedScikit-network: Graph Analysis in Python

17 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20223 cited

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning

Flemming Kondrup, Thomas Jiralerspong, Elaine Lau +5

Mechanical ventilation is a key form of life support for patients with pulmonary impairment. Healthcare workers are required to continuously adjust ventilator settings for each pat…

cs.SI202017 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…

cs.LG2020

A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs

Nathan de Lara, Thomas Bonald

Semi-supervised classification on graphs aims at assigning labels to all nodes of a graph based on the labels known for a few nodes, called the seeds. The most popular algorithm re…

cs.LG20193 cited

Variational Recurrent Neural Networks for Graph Classification

Edouard Pineau, Nathan de Lara

We address the problem of graph classification based only on structural information. Inspired by natural language processing techniques (NLP), our model sequentially embeds informa…

cs.LG2018

A Simple Baseline Algorithm for Graph Classification

Nathan de Lara, Edouard Pineau

Graph classification has recently received a lot of attention from various fields of machine learning e.g. kernel methods, sequential modeling or graph embedding. All these approac…