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1904.01561
Cited By
Analyzing Learned Molecular Representations for Property Prediction
2 April 2019
Kevin Kaichuang Yang
Kyle Swanson
Wengong Jin
Connor W. Coley
Philipp Eiden
Hua Gao
A. Guzman-Perez
Timothy Hopper
Brian P. Kelley
M. Mathea
Andrew Palmer
Volker Settels
Tommi Jaakkola
K. Jensen
Regina Barzilay
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Papers citing
"Analyzing Learned Molecular Representations for Property Prediction"
31 / 131 papers shown
Title
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Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery
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Meng Liu
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Lei Cai
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Zhuoning Yuan
Tianbao Yang
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Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction
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01 Dec 2020
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25 Nov 2020
Message Passing Networks for Molecules with Tetrahedral Chirality
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Ian Coley
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Connor W. Coley
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24 Nov 2020
Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models
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Regina Barzilay
Tommi Jaakkola
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09 Nov 2020
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Qianggang Ding
P. Zhao
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William McCorkindale
C. Poelking
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24 Oct 2020
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
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19 Oct 2020
Gaussian Process Molecule Property Prediction with FlowMO
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Ryan-Rhys Griffiths
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02 Oct 2020
Deep Learning in Protein Structural Modeling and Design
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Jeffrey J. Gray
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16 Jul 2020
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Matthew Welborn
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15 Jul 2020
Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes
Ryan-Rhys Griffiths
Jake L. Greenfield
Aditya R. Thawani
Arian R. Jamasb
Henry B. Moss
Anthony Bourached
Penelope Jones
William McCorkindale
Alexander A. Aldrick
Matthew J. Fuchter Alpha A. Lee
30
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28 Jun 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong
Yatao Bian
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Ying Wei
Wenbing Huang
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18 Jun 2020
Learning Graph Models for Retrosynthesis Prediction
Vignesh Ram Somnath
Charlotte Bunne
Connor W. Coley
Andreas Krause
Regina Barzilay
27
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GEOM: Energy-annotated molecular conformations for property prediction and molecular generation
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Rafael Gómez-Bombarelli
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09 Jun 2020
Multi-View Graph Neural Networks for Molecular Property Prediction
Hehuan Ma
Yatao Bian
Yu Rong
Wenbing Huang
Tingyang Xu
Wei-yang Xie
Geyan Ye
Junzhou Huang
21
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17 May 2020
Adaptive Invariance for Molecule Property Prediction
Wengong Jin
Regina Barzilay
Tommi Jaakkola
13
7
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05 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
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Michele Catasta
J. Leskovec
35
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Kexin Huang
Tianfan Fu
Lucas Glass
Marinka Zitnik
Cao Xiao
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19 Apr 2020
Autonomous discovery in the chemical sciences part II: Outlook
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Natalie S. Eyke
K. Jensen
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Neural Message Passing on High Order Paths
Daniel Flam-Shepherd
Tony C Wu
Pascal Friederich
Alán Aspuru-Guzik
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24
49
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24 Feb 2020
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
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168
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19 Feb 2020
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
Amanda J. Minnich
K. McLoughlin
Margaret J. Tse
Jason Deng
Andrew Weber
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Bharath Ramsundar
T. Rush
Stacie Calad-Thomson
J. Brase
Jonathan E. Allen
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13 Nov 2019
Deep Learning for Automated Classification and Characterization of Amorphous Materials
K. Swanson
Shubhendu Trivedi
Joshua Lequieu
Kyle Swanson
Risi Kondor
24
37
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10 Sep 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
239
1,340
0
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MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
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0
02 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
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1,401
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01 Dec 2016
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