Publications

Chaitanya Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson (2020). Learning TSP Requires Rethinking Generalization. arXiv preprint arXiv:2006.07054.

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Vijay Prakash Dwivedi, Chaitanya Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson (2020). Benchmarking Graph Neural Networks. arXiv preprint arXiv:2003.00982.

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Peng Xu, Chaitanya Joshi, Xavier Bresson (2019). Multi-Graph Transformer for Free-Hand Sketch Recognition. arXiv preprint arXiv:1912.11258.

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Chaitanya Joshi, Thomas Laurent, Xavier Bresson (2019). On Learning Paradigms for the Travelling Salesman Problem. NeurIPS 2019 Workshop on Graph Representation Learning.

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Xavier Bresson, Thomas Laurent (2019). A Two-Step Graph Convolutional Decoder for Molecule Generation. NeurIPS 2019 Workshop on Machine Learning and the Physical Sciences.

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Yao Yang Leow, Thomas Laurent, Xavier Bresson (2019). GraphTSNE: A Visualization Technique for Graph-Structured Data. ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds.

Chaitanya Joshi, Thomas Laurent, Xavier Bresson (2019). An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem. arXiv preprint arXiv:1906.01227.

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Xavier Bresson, Thomas Laurent (2018). An Experimental Study of Neural Networks for Variable Graphs. ICLR 2018 Workshop.

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Suyash Lakhotia, Xavier Bresson (2018). An Experimental Comparison of Text Classification Techniques. International Conference on Cyberworlds 2018.

Xavier Bresson, Thomas Laurent (2017). Residual Gated Graph ConvNets. arXiv preprint arXiv:1711.07553.

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