188 citations · 667 across the 24 of their papers we have counts for
3 papers · 1 filter
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain +2
Most graph neural networks (GNNs) use the message passing paradigm, in which node features are propagated on the input graph. Recent works pointed to the distortion of information…
Generalising Random Forest Parameter Optimisation to Include Stability and Cost
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little +1
Random forests are among the most popular classification and regression methods used in industrial applications. To be effective, the parameters of random forests must be carefully…
Neural Embeddings of Graphs in Hyperbolic Space
Benjamin Paul Chamberlain, James Clough, Marc Peter Deisenroth
Neural embeddings have been used with great success in Natural Language Processing (NLP). They provide compact representations that encapsulate word similarity and attain state-of-…