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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 / 514 papers shown
Title
Learning Vertex Convolutional Networks for Graph Classification
Learning Vertex Convolutional Networks for Graph Classification
Lu Bai
Lixin Cui
Shu Wu
Yuhang Jiao
Edwin R. Hancock
GNN
19
1
0
26 Feb 2019
An Attention Enhanced Graph Convolutional LSTM Network for
  Skeleton-Based Action Recognition
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
31
705
0
25 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph
  Structure
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OOD
AAML
28
216
0
20 Feb 2019
Bayesian semi-supervised learning for uncertainty-calibrated prediction
  of molecular properties and active learning
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning
Yao Zhang
A. Lee
19
101
0
03 Feb 2019
Human Pose Estimation with Spatial Contextual Information
Human Pose Estimation with Spatial Contextual Information
Hong Zhang
Hao Ouyang
Shu-Lin Liu
Xiaojuan Qi
Xiaoyong Shen
Ruigang Yang
Jiaya Jia
3DH
27
83
0
07 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao
Zhizhen Zhao
R. Urtasun
R. Zemel
GNN
22
227
0
06 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
159
8,356
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,400
0
20 Dec 2018
Neighbourhood Watch: Referring Expression Comprehension via
  Language-guided Graph Attention Networks
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks
Peng Wang
Qi Wu
Jiewei Cao
Chunhua Shen
Lianli Gao
Anton Van Den Hengel
ObjD
22
252
0
12 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
39
1,321
0
11 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike
  Local Tangent Space Estimation
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
Zhiyu Sun
Ethan Rooke
Jerome Charton
Yusen He
Jia Lu
Stephen Seung-Yeob Baek
29
21
0
03 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular
  Optimization
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
33
224
0
03 Dec 2018
Graph Node-Feature Convolution for Representation Learning
Graph Node-Feature Convolution for Representation Learning
Li Zhang
Heda Song
Nikolaos Aletras
Haiping Lu
GNN
SSL
20
13
0
30 Nov 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
194
633
0
29 Nov 2018
Optimized Skeleton-based Action Recognition via Sparsified Graph
  Regression
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression
Xiang Gao
Wei Hu
Jiaxiang Tang
Jiaying Liu
Zongming Guo
3DH
GNN
19
23
0
29 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark J. Coates
Deniz Üstebay
GNN
BDL
21
227
0
27 Nov 2018
Graph Learning-Convolutional Networks
Graph Learning-Convolutional Networks
Bo Jiang
Ziyan Zhang
Doudou Lin
Jin Tang
GNN
SSL
21
5
0
25 Nov 2018
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
27
51
0
22 Nov 2018
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties
  using Multiple Molecular Representations
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations
Arindam Paul
Dipendra Jha
Reda Al-Bahrani
W. Liao
A. Choudhary
Ankit Agrawal
16
43
0
14 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lió
GNN
41
257
0
03 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
20
169
0
29 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo
M. Jaeger
P. Frasconi
AI4CE
22
23
0
26 Oct 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
11
335
0
22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
79
1,650
0
14 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
97
1,606
0
04 Oct 2018
Dual Convolutional Neural Network for Graph of Graphs Link Prediction
Dual Convolutional Neural Network for Graph of Graphs Link Prediction
Shonosuke Harada
Hirotaka Akita
Masashi Tsubaki
Yukino Baba
Ichigaku Takigawa
Yoshihiro Yamanishi
H. Kashima
GNN
AI4CE
24
9
0
04 Oct 2018
Triad-based Neural Network for Coreference Resolution
Triad-based Neural Network for Coreference Resolution
Yuanliang Meng
Anna Rumshisky
6
5
0
18 Sep 2018
Powerful, transferable representations for molecules through intelligent
  task selection in deep multitask networks
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
Clyde Fare
Lukas Turcani
Edward O. Pyzer-Knapp
24
13
0
17 Sep 2018
Graph Neural Networks for IceCube Signal Classification
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma
Federico Monti
Lisa Gerhardt
T. Palczewski
Z. Ronaghi
P. Prabhat
W. Bhimji
M. Bronstein
S. Klein
Joan Bruna
16
76
0
17 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
11
487
0
14 Sep 2018
Latent Molecular Optimization for Targeted Therapeutic Design
Latent Molecular Optimization for Targeted Therapeutic Design
Tristan Aumentado-Armstrong
15
41
0
05 Sep 2018
Isometric Transformation Invariant Graph-based Deep Neural Network
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
P. Frossard
33
3
0
21 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai
Haoyang Ding
Song Bian
Ting-Li Chen
Yizhou Sun
Wei Wang
GNN
21
313
0
16 Aug 2018
Multimodal Deep Neural Networks using Both Engineered and Learned
  Representations for Biodegradability Prediction
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction
Garrett B. Goh
Khushmeen Sakloth
Charles Siegel
Abhinav Vishnu
J. Pfaendtner
HAI
28
11
0
13 Aug 2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
Manyi Li
A. Patil
Kai Xu
S. Chaudhuri
Owais Khan
Ariel Shamir
Changhe Tu
Baoquan Chen
Daniel Cohen-Or
Hao Zhang
3DV
VGen
34
139
0
24 Jul 2018
Deep Reasoning with Knowledge Graph for Social Relationship
  Understanding
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Zhouxia Wang
Tianshui Chen
Jimmy S. J. Ren
Weihao Yu
Hui Cheng
Liang Lin
GNN
22
173
0
02 Jul 2018
Quantum-chemical insights from interpretable atomistic neural networks
Quantum-chemical insights from interpretable atomistic neural networks
Kristof T. Schütt
M. Gastegger
A. Tkatchenko
K. Müller
AI4CE
23
31
0
27 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
69
2,124
0
22 Jun 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCL
AI4CE
22
248
0
21 Jun 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike
  Convolutional Neural Networks
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks
Zhiyu Sun
Jia Lu
Stephen Seung-Yeob Baek
21
0
0
20 Jun 2018
Neural Message Passing with Edge Updates for Predicting Properties of
  Molecules and Materials
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials
Peter Bjørn Jørgensen
K. Jacobsen
Mikkel N. Schmidt
30
82
0
08 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
203
885
0
07 Jun 2018
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
22
68
0
06 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
90
3,477
0
06 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
100
3,080
0
04 Jun 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
42
593
0
04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
AAML
GNN
33
41
0
31 May 2018
MolGAN: An implicit generative model for small molecular graphs
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNN
GAN
35
906
0
30 May 2018
A Generative Model For Electron Paths
A Generative Model For Electron Paths
John Bradshaw
Matt J. Kusner
Brooks Paige
Marwin H. S. Segler
José Miguel Hernández-Lobato
14
55
0
23 May 2018
Graph Capsule Convolutional Neural Networks
Graph Capsule Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
30
128
0
21 May 2018
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