119 citations · 121 across the 12 of their papers we have counts for
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cs.LG2021★ 1 cited
On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction
Edward Elson Kosasih, Joaquin Cabezas, Xavier Sumba +5
In order to advance large-scale graph machine learning, the Open Graph Benchmark Large Scale Challenge (OGB-LSC) was proposed at the KDD Cup 2021. The PCQM4M-LSC dataset defines a…
cs.LG2021★ 119 cited
Graph Barlow Twins: A self-supervised representation learning framework for graphs
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
The self-supervised learning (SSL) paradigm is an essential exploration area, which tries to eliminate the need for expensive data labeling. Despite the great success of SSL method…