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Molecular Graph Convolutions: Moving Beyond Fingerprints
v1v2v3 (latest)

Molecular Graph Convolutions: Moving Beyond Fingerprints

2 March 2016
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
    GNN
ArXiv (abs)PDFHTML

Papers citing "Molecular Graph Convolutions: Moving Beyond Fingerprints"

16 / 16 papers shown
Title
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
269
0
0
20 Sep 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
Piotr Gaiñski
Michał Koziarski
Krzysztof Maziarz
Marwin H. S. Segler
Jacek Tabor
Marek Śmieja
122
4
0
26 Jun 2024
Enhancing selectivity using Wasserstein distance based reweighing
Enhancing selectivity using Wasserstein distance based reweighing
Pratik Worah
OOD
106
0
0
21 Jan 2024
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
224
15
0
12 Nov 2021
Deep Learning with Dynamic Computation Graphs
Deep Learning with Dynamic Computation Graphs
Moshe Looks
Marcello Herreshoff
DeLesley S. Hutchins
Peter Norvig
GNNAI4CE
89
135
0
07 Feb 2017
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent
  Neural Networks
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
Marwin H. S. Segler
T. Kogej
C. Tyrchan
M. Waller
96
97
0
05 Jan 2017
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
291
11,155
0
14 Mar 2016
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction
  in Structure-based Drug Discovery
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach
Michael Dzamba
Abraham Heifets
89
542
0
10 Oct 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
229
3,356
0
30 Sep 2015
Toxicity Prediction using Deep Learning
Toxicity Prediction using Deep Learning
Thomas Unterthiner
Andreas Mayr
Günter Klambauer
Sepp Hochreiter
95
156
0
04 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
Massively Multitask Networks for Drug Discovery
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar
S. Kearnes
Patrick F. Riley
D. Webster
D. Konerding
Vijay S. Pande
101
473
0
06 Feb 2015
Geodesic convolutional neural networks on Riemannian manifolds
Geodesic convolutional neural networks on Riemannian manifolds
Jonathan Masci
Davide Boscaini
M. Bronstein
P. Vandergheynst
72
60
0
26 Jan 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
496
43,717
0
17 Sep 2014
Multi-task Neural Networks for QSAR Predictions
Multi-task Neural Networks for QSAR Predictions
George E. Dahl
Navdeep Jaitly
Ruslan Salakhutdinov
121
277
0
04 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
235
4,884
0
21 Dec 2013
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