20 citations · 29 across the 6 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 9 cited
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…
cs.LG2019★ 20 cited
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…