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Benjamin Paul Chamberlain
Benjamin Paul Chamberlain
Isomorphic Labs
Geverifieerd e-mailadres voor google.com - Homepage
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Temporal graph networks for deep learning on dynamic graphs
E Rossi, BP Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein
ICML 2020 Workshop on Graph Representation Learning, 2020
6892020
Understanding over-squashing and bottlenecks on graphs via curvature
J Topping, F Di Giovanni, BP Chamberlain, X Dong, MM Bronstein
ICLR 2022 (Best paper honourable mention), 2021
4322021
Sign: Scalable inception graph neural networks
F Frasca, E Rossi, D Eynard, BP Chamberlain, M Bronstein, F Monti
ICML 2020 Workshop on Graph Representation Learning, 2020
421*2020
GRAND: Graph Neural Diffusion
BP Chamberlain, J Rowbottom, M Gorinova, S Webb, E Rossi, ...
The 38th International Conference on Machine Learning (ICML 2021), 2021
2722021
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
SIGKDD 2017 Mining and Learning on Graphs Workshop, 2017
2082017
Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns
C Bodnar, F Di Giovanni, BP Chamberlain, P Liò, MM Bronstein
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
1542022
Customer lifetime value prediction using embeddings
BP Chamberlain, A Cardoso, CHB Liu, R Pagliari, MP Deisenroth
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
1152017
Graph-Coupled Oscillator Networks
TK Rusch, BP Chamberlain, J Rowbottom, S Mishra, MM Bronstein
The 39th International Conference on Machine Learning (ICML 2022), 2022
1022022
Graph Neural Networks for Link Prediction with Subgraph Sketching
BP Chamberlain, S Shirobokov, E Rossi, F Frasca, T Markovich, ...
ICLR 2023 (oral top 5%), 2022
922022
On the unreasonable effectiveness of feature propagation in learning on graphs with missing node features
E Rossi, H Kenlay, MI Gorinova, BP Chamberlain, X Dong, MM Bronstein
Learning on graphs conference, 11: 1-11: 16, 2022
852022
Beltrami Flow and Neural Diffusion on Graphs
BP Chamberlain, J Rowbottom, D Eynard, F Di Giovanni, X Dong, ...
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
782021
Predicting twitter user socioeconomic attributes with network and language information
N Aletras, BP Chamberlain
Proceedings of the 29th on Hypertext and Social Media, 20-24, 2018
742018
Scalable hyperbolic recommender systems
BP Chamberlain, SR Hardwick, DR Wardrope, F Dzogang, F Daolio, ...
arXiv preprint arXiv:1902.08648, 2019
562019
Graph neural networks as gradient flows
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
492022
Gradient Gating for Deep Multi-Rate Learning on Graphs
TK Rusch, BP Chamberlain, MW Mahoney, MM Bronstein, S Mishra
ICLR 2023, 2022
422022
Generalising random forest parameter optimisation to include stability and cost
CHB Liu, BP Chamberlain, DA Little, Â Cardoso
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
362017
Probabilistic inference of twitter users’ age based on what they follow
BP Chamberlain, C Humby, MP Deisenroth
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
35*2017
Tuning Word2vec for Large Scale Recommendation Systems
BP Chamberlain, E Rossi, D Shiebler, S Sedhain, MM Bronstein
In Fourteenth ACM Conference on Recommender Systems (pp. 732-737), 2020
302020
Fashion Outfit Generation for E-commerce
EM Bettaney, SR Hardwick, O Zisimopoulos, BP Chamberlain
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
282019
Understanding convolution on graphs via energies
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
arXiv preprint arXiv:2206.10991, 2022
272022
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Artikelen 1–20