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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"

50 / 508 papers shown
Title
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
171
0
03 Apr 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
16
296
0
28 Mar 2018
Referring Relationships
Referring Relationships
Ranjay Krishna
Ines Chami
Michael S. Bernstein
Li Fei-Fei
22
94
0
28 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
22
76
0
16 Mar 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
22
157
0
07 Mar 2018
Visualizing Convolutional Neural Network Protein-Ligand Scoring
Visualizing Convolutional Neural Network Protein-Ligand Scoring
Joshua E. Hochuli
Alec Helbling
Tamar Skaist
Matthew Ragoza
D. Koes
FAtt
11
65
0
06 Mar 2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge
  Regression
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
19
24
0
05 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning
Bioinformatics and Medicine in the Era of Deep Learning
D. Bacciu
P. Lisboa
José D. Martín
R. Stoean
A. Vellido
AI4CE
BDL
33
17
0
27 Feb 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
17
1,897
0
27 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
32
93
0
14 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
45
487
0
11 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
21
1,504
0
30 Jan 2018
HONE: Higher-Order Network Embeddings
HONE: Higher-Order Network Embeddings
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
Anup B. Rao
Yasin Abbasi-Yadkori
21
22
0
28 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
56
4,091
0
23 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
26
746
0
10 Jan 2018
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
33
165
0
07 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
40
75
0
19 Dec 2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the
  Gaussian Mixture Model
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Bo Wu
Yang Liu
B. Lang
Lei Huang
11
68
0
10 Dec 2017
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for
  Transferable Chemical Property Prediction
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
Garrett B. Goh
Charles Siegel
Abhinav Vishnu
Nathan Oken Hodas
18
90
0
07 Dec 2017
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu
Zilu Zhang
Tal Friedman
Yitao Liang
Guy Van den Broeck
38
445
0
29 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
25
461
0
20 Nov 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNN
DiffM
19
386
0
27 Oct 2017
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural
  Networks
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks
Matthew Ragoza
Lillian Turner
D. Koes
22
16
0
20 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
27
1,780
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
32
1,966
0
17 Sep 2017
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
39
76
0
16 Sep 2017
Mesh-based Autoencoders for Localized Deformation Component Analysis
Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan
Lin Gao
Yu-Kun Lai
Jie-jin Yang
Shi-hong Xia
29
64
0
13 Sep 2017
Variational Reasoning for Question Answering with Knowledge Graph
Variational Reasoning for Question Answering with Knowledge Graph
Yuyu Zhang
H. Dai
Zornitsa Kozareva
Alex Smola
Le Song
20
467
0
12 Sep 2017
Learning Graph-Level Representation for Drug Discovery
Learning Graph-Level Representation for Drug Discovery
Junying Li
Deng Cai
Xiaofei He
GNN
AI4CE
18
115
0
12 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GAN
AI4CE
17
25
0
11 Sep 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
22
7
0
10 Aug 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
35
1,049
0
26 Jun 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
41
237
0
19 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
9
5
0
08 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
19
53
0
08 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels
Deriving Neural Architectures from Sequence and Graph Kernels
Tao Lei
Wengong Jin
Regina Barzilay
Tommi Jaakkola
GNN
45
137
0
25 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
33
657
0
22 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
24
1,721
0
08 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas J. Guibas
3DV
50
185
0
05 May 2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum
  Disorder Classification
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification
Rushil Anirudh
Jayaraman J. Thiagarajan
25
90
0
24 Apr 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
19
364
0
20 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
21
1,220
0
10 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
48
7,312
0
04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
57
4,728
0
17 Mar 2017
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
69
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
181
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
21
345
0
14 Dec 2016
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