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Towards Efficient Molecular Property Optimization with Graph Energy Based Models

Towards Efficient Molecular Property Optimization with Graph Energy Based Models

17 February 2025
Luca Miglior
Lorenzo Simone
Marco Podda
Davide Bacciu
    AI4CE
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Papers citing "Towards Efficient Molecular Property Optimization with Graph Energy Based Models"

6 / 6 papers shown
Title
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
209
198
0
01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models
GraphEBM: Molecular Graph Generation with Energy-Based Models
Meng Liu
Keqiang Yan
Bora Oztekin
Shuiwang Ji
56
88
0
31 Jan 2021
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang
Fei Wang
BDL
114
292
0
17 Jun 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
156
437
0
26 Jan 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
315
1,366
0
12 Feb 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
552
28,964
0
09 Sep 2016
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