246 citations · 1.2k across the 31 of their papers we have counts for
4 papers · 1 filter
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
We explore the impact of learning paradigms on training deep neural networks for the Travelling Salesman Problem. We design controlled experiments to train supervised learning (SL)…
A Two-Step Graph Convolutional Decoder for Molecule Generation
Xavier Bresson, Thomas Laurent
We propose a simple auto-encoder framework for molecule generation. The molecular graph is first encoded into a continuous latent representation , which is then decoded back to…
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson
This paper introduces a new learning-based approach for approximately solving the Travelling Salesman Problem on 2D Euclidean graphs. We use deep Graph Convolutional Networks to bu…
GraphTSNE: A Visualization Technique for Graph-Structured Data
Yao Yang Leow, Thomas Laurent, Xavier Bresson
We present GraphTSNE, a novel visualization technique for graph-structured data based on t-SNE. The growing interest in graph-structured data increases the importance of gaining hu…