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Molecular Graph Generation via Geometric Scattering

Molecular Graph Generation via Geometric Scattering

12 October 2021
Dhananjay Bhaskar
Jackson D. Grady
Michal Perlmutter
Smita Krishnaswamy
    GNN
ArXiv (abs)PDFHTML

Papers citing "Molecular Graph Generation via Geometric Scattering"

21 / 21 papers shown
Title
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure Spaces
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
204
19
0
17 Aug 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
  Scattering Networks
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Frederik Wenkel
Yimeng Min
M. Hirn
Michael Perlmutter
Guy Wolf
GNN
85
24
0
22 Jan 2022
Geometric Scattering Attention Networks
Geometric Scattering Attention Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
118
9
0
28 Oct 2020
Data-Driven Learning of Geometric Scattering Networks
Data-Driven Learning of Geometric Scattering Networks
Alexander Tong
Frederik Wenkel
Kincaid MacDonald
Smita Krishnaswamy
Guy Wolf
GNN
38
5
0
06 Oct 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang
Fei Wang
BDL
134
295
0
17 Jun 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional
  Networks
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
GNN
145
114
0
18 Mar 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
94
289
0
08 Feb 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
198
438
0
26 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra
Aleksandra Piktus
Gerard Goossen
Fabrizio Silvestri
AI4CE
66
14
0
17 Jan 2020
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
154
986
0
06 Nov 2019
Stability of Graph Scattering Transforms
Stability of Graph Scattering Transforms
Fernando Gama
Joan Bruna
Alejandro Ribeiro
GNN
69
85
0
11 Jun 2019
Labeled Graph Generative Adversarial Networks
Labeled Graph Generative Adversarial Networks
Shuangfei Fan
Bert Huang
GAN
68
30
0
07 Jun 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
105
918
0
30 Apr 2019
Geometric Scattering for Graph Data Analysis
Geometric Scattering for Graph Data Analysis
Feng Gao
Guy Wolf
M. Hirn
GNN
91
113
0
07 Oct 2018
Diffusion Scattering Transforms on Graphs
Diffusion Scattering Transforms on Graphs
Fernando Gama
Alejandro Ribeiro
Joan Bruna
GNN
94
103
0
22 Jun 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNNGAN
181
930
0
30 May 2018
Graph Convolutional Neural Networks via Scattering
Graph Convolutional Neural Networks via Scattering
Dongmian Zou
Gilad Lerman
GNN
71
123
0
31 Mar 2018
Fréchet ChemNet Distance: A metric for generative models for molecules
  in drug discovery
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Kristina Preuer
Philipp Renz
Thomas Unterthiner
Sepp Hochreiter
Günter Klambauer
MedIm
103
340
0
26 Mar 2018
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
189
2,945
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
709
29,220
0
09 Sep 2016
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
135
993
0
12 Jan 2011
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