457 citations · 815 across the 15 of their papers we have counts for
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cs.LG2021
Self-Labeling of Fully Mediating Representations by Graph Alignment
Martijn Oldenhof, Adam Arany, Yves Moreau +1
To be able to predict a molecular graph structure () given a 2D image of a chemical compound () is a challenging problem in machine learning. We are interested to learn $f: U…
cs.LG2021★ 1 cited
Topological Graph Neural Networks
Max Horn, Edward De Brouwer, Michael Moor +3
Graph neural networks (GNNs) are a powerful architecture for tackling graph learning tasks, yet have been shown to be oblivious to eminent substructures such as cycles. We present…