Chamberlain, Benjamin Paul

13 publications

ICLR 2023 Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra

ICLR 2023 Graph Neural Networks for Link Prediction with Subgraph Sketching Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire

ICLR 2023 Hyperbolic Deep Reinforcement Learning Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J Hunt

TMLR 2023 Understanding Convolution on Graphs via Energies Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein

NeurIPSW 2022 Hyperbolic Deep Reinforcement Learning Edoardo Cetin, Benjamin Paul Chamberlain, Michael M. Bronstein, Jonathan J Hunt

ICLRW 2022 Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lio, Michael M. Bronstein

LoG 2022 On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein

NeurIPSW 2022 On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein

ICLR 2022 Understanding Over-Squashing and Bottlenecks on Graphs via Curvature Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein

NeurIPSW 2021 GRAND: Graph Neural Diffusion Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan D Webb, Emanuele Rossi, Michael M. Bronstein

ECML-PKDD 2020 Fashion Outfit Generation for E-Commerce Elaine M. Bettaney, Stephen R. Hardwick, Odysseas Zisimopoulos, Benjamin Paul Chamberlain

ECML-PKDD 2017 Generalising Random Forest Parameter Optimisation to Include Stability and Cost C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Ângelo Cardoso

ECML-PKDD 2017 Probabilistic Inference of Twitter Users' Age Based on What They Follow Benjamin Paul Chamberlain, Clive Humby, Marc Peter Deisenroth