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.

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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.

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

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