Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

14 August 2020

Papers citing "Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization"

6 / 6 papers shown

Title
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 20 0 0 15 Apr 2024
Molecule optimization via multi-objective evolutionary in implicit chemical space Xin Xia Yansen Su Chunhou Zheng Xiangxiang Zeng 23 1 0 17 Dec 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 28 23 0 19 Mar 2022
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 169 633 0 29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 189 885 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018