20 citations · 29 across the 3 of their papers we have counts for
4 papers · 1 filter
BRepNet: A topological message passing system for solid models
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman +3
Boundary representation (B-rep) models are the standard way 3D shapes are described in Computer-Aided Design (CAD) applications. They combine lightweight parametric curves and surf…
PiNet: Attention Pooling for Graph Classification
Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley
We propose PiNet, a generalised differentiable attention-based pooling mechanism for utilising graph convolution operations for graph level classification. We demonstrate high samp…
PiNet: A Permutation Invariant Graph Neural Network for Graph Classification
Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley
We propose an end-to-end deep learning learning model for graph classification and representation learning that is invariant to permutation of the nodes of the input graphs. We add…
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
Marcelo Daniel Gutierrez Mallea, Peter Meltzer, Peter J Bentley
Graph classification is a significant problem in many scientific domains. It addresses tasks such as the classification of proteins and chemical compounds into categories according…