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Convolutional Networks on Graphs for Learning Molecular Fingerprints

Convolutional Networks on Graphs for Learning Molecular Fingerprints

30 September 2015
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
    GNN
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Papers citing "Convolutional Networks on Graphs for Learning Molecular Fingerprints"

14 / 514 papers shown
Title
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNN
NAI
11
827
0
14 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
71
2,419
0
10 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
29
140
0
02 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
31
22
0
02 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
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
196
1,778
0
02 Mar 2017
The More You Know: Using Knowledge Graphs for Image Classification
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
GNN
OCL
32
345
0
14 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
Learning Deep Architectures for Interaction Prediction in
  Structure-based Virtual Screening
Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening
Adam Gonczarek
Jakub M. Tomczak
Szymon Zareba
J. Kaczmar
P. Dabrowski
Michał J. Walczak
19
68
0
23 Oct 2016
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
26
2,885
0
07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
22
28,555
0
09 Sep 2016
Neural networks for the prediction organic chemistry reactions
Neural networks for the prediction organic chemistry reactions
Jennifer N. Wei
David Duvenaud
Alán Aspuru-Guzik
16
352
0
22 Aug 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
14
693
0
17 Mar 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
52
1,435
0
02 Mar 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
33
3,258
0
17 Nov 2015
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