246 citations · 1.2k across the 31 of their papers we have counts for
4 papers · 1 filter
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He, Bryan Hooi, Thomas Laurent +3
Graph Neural Networks (GNNs) have shown great potential in the field of graph representation learning. Standard GNNs define a local message-passing mechanism which propagates infor…
Learning to Untangle Genome Assembly with Graph Convolutional Networks
Lovro Vrček, Xavier Bresson, Thomas Laurent +2
A quest to determine the complete sequence of a human DNA from telomere to telomere started three decades ago and was finally completed in 2021. This accomplishment was a result of…
Long-Tailed Learning Requires Feature Learning
Thomas Laurent, James H. von Brecht, Xavier Bresson
We propose a simple data model inspired from natural data such as text or images, and use it to study the importance of learning features in order to achieve good generalization. O…
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh, Wee Sun Lee, Xavier Bresson +2
The traveling salesman problem is a fundamental combinatorial optimization problem with strong exact algorithms. However, as problems scale up, these exact algorithms fail to provi…