Volgen
Benjamin Paul Chamberlain
Benjamin Paul Chamberlain
Twitter
Geverifieerd e-mailadres voor twitter.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
2342020
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
1972020
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
SIGKDD 2017 Mining and Learning on Graphs Workshop, 2017
1502017
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
772017
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
742021
GRAND: Graph Neural Diffusion
BP Chamberlain, J Rowbottom, M Gorinova, S Webb, E Rossi, ...
The 38th International Conference on Machine Learning (ICML 2021), 2021
742021
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
552018
Scalable hyperbolic recommender systems
BP Chamberlain, SR Hardwick, DR Wardrope, F Dzogang, F Daolio, ...
arXiv preprint arXiv:1902.08648, 2019
392019
Generalising random forest parameter optimisation to include stability and cost
CHB Liu, BP Chamberlain, DA Little, Ā Cardoso
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
262017
Real-time community detection in full social networks on a laptop
BP Chamberlain, J Levy-Kramer, C Humby, MP Deisenroth
PloS one 13 (1), e0188702, 2018
242018
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
23*2017
Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns
C Bodnar, F Di Giovanni, BP Chamberlain, P Liņ, MM Bronstein
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
202022
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
182019
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
172021
Learning Embeddings for Product Size Recommendations
K Dogani, M Tomassetti, S De Cnudde, S Vargas, B Chamberlain
eCOM@SIGIR, 2019
172019
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
152020
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
112022
Graph-Coupled Oscillator Networks
TK Rusch, BP Chamberlain, J Rowbottom, S Mishra, MM Bronstein
The 39th International Conference on Machine Learning (ICML 2022), 2022
112022
A recurrent neural network survival model: Predicting web user return time
GL Grob, Ā Cardoso, CHB Liu, DA Little, BP Chamberlain
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
112019
Graph neural networks as gradient flows
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
arXiv preprint arXiv:2206.10991, 2022
102022
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20