Laurent, Thomas

15 publications

ICML 2025 A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson

ICLR 2024 Feature Collapse Thomas Laurent, James von Brecht, Xavier Bresson

NeurIPS 2024 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi

ICLR 2024 Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi

ICML 2023 A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann Lecun, Xavier Bresson

JMLR 2023 Benchmarking Graph Neural Networks Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson

ICLR 2023 Long-Tailed Learning Requires Feature Learning Thomas Laurent, James von Brecht, Xavier Bresson

ICLR 2022 Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson

ICML 2018 Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global Thomas Laurent, James Brecht

ICML 2018 The Multilinear Structure of ReLU Networks Thomas Laurent, James Brecht

ICLR 2017 A Recurrent Neural Network Without Chaos Thomas Laurent, James von Brecht

JMLR 2016 Consistency of Cheeger and Ratio Graph Cuts Nicolás García Trillos, Dejan Slepčev, James von Brecht, Thomas Laurent, Xavier Bresson

NeurIPS 2016 The Product Cut Thomas Laurent, James von Brecht, Xavier Bresson, Arthur Szlam

NeurIPS 2013 Multiclass Total Variation Clustering Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht

NeurIPS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering Xavier Bresson, Thomas Laurent, David Uminsky, James V. Brecht