In this work, we consider a reconstruction problem of a 3D graph, based on its 2D projected model and imprecise 3D positional traces along it, and propose a general method to achieve this ...

This repository contains the implementation of a novel approach using graph neural networks for 3D conformer generation, leveraging pretraining on 2D molecular graphs. ... 250 --dataset qm9_deepergcn ...