Benjamin Paul Chamberlain

Customer Lifetime Value Prediction Using Embeddings

Benjamin Paul Chamberlain, Ângelo Cardoso, Chenhe Liu et al. · 2017 · 84 citations · Full text

Engineering, Machine Learning, Life Prediction +22

Neural Embeddings of Graphs in Hyperbolic Space

Benjamin Paul Chamberlain, James R. Clough, Marc Peter Deisenroth · arXiv (Cornell University) · 2017 · 59 citations · Full text

Natural Language Processing, Structured Prediction, Geometric Learning +13

Understanding over-squashing and bottlenecks on graphs via curvature

Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain et al. · arXiv (Cornell University) · 2021 · 34 citations · Full text

Graph Sparsity, Engineering, Machine Learning +17

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain et al. · arXiv (Cornell University) · 2022 · 29 citations · Full text

Neural Sheaf Diffusion, Network Science, Graph Theory +15

Scalable Hyperbolic Recommender Systems

Benjamin Paul Chamberlain, Stephen R. Hardwick, D. R. Wardrope et al. · arXiv (Cornell University) · 2019 · 21 citations · Full text

Hyperbolic Model, Computational Social Science, Group Recommenders +13