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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 / 621 papers shown
Title
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
39
1,066
0
11 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
Stefanos Zafeiriou
MedIm
3DH
26
163
0
08 May 2019
Stability and Generalization of Graph Convolutional Neural Networks
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
MLT
37
154
0
03 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
66
517
0
29 Apr 2019
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
36
120
0
27 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNN
BDL
CML
37
198
0
24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
20
1
0
23 Apr 2019
Context-Aware Zero-Shot Recognition
Context-Aware Zero-Shot Recognition
Ruotian Luo
Ning Zhang
Bohyung Han
L. Yang
25
31
0
19 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network
RepGN:Object Detection with Relational Proposal Graph Network
Xingjian Du
Xuan Shi
Risheng Huang
ObjD
25
8
0
18 Apr 2019
Reliable Prediction Errors for Deep Neural Networks Using Test-Time
  Dropout
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout
I. Cortés-Ciriano
A. Bender
OOD
36
47
0
12 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations
Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng
Wenguan Wang
Siyuan Qi
Song-Chun Zhu
39
117
0
11 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks
DAGCN: Dual Attention Graph Convolutional Networks
Fengwen Chen
Shirui Pan
Jing Jiang
Huan Huo
Guodong Long
GNN
30
50
0
04 Apr 2019
Clique pooling for graph classification
Clique pooling for graph classification
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
29
36
0
31 Mar 2019
A Survey on Graph Kernels
A Survey on Graph Kernels
Nils M. Kriege
Fredrik D. Johansson
Christopher Morris
26
407
0
28 Mar 2019
Structural Neural Encoders for AMR-to-text Generation
Structural Neural Encoders for AMR-to-text Generation
Marco Damonte
Shay B. Cohen
33
70
0
27 Mar 2019
Tiered Latent Representations and Latent Spaces for Molecular Graphs
Tiered Latent Representations and Latent Spaces for Molecular Graphs
Daniel T. Chang
AI4CE
BDL
38
7
0
21 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
Minyi Guo
27
912
0
18 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
37
1,291
0
10 Mar 2019
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell
  Screening
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening
Arindam Paul
Dipendra Jha
Reda Al-Bahrani
W. Liao
A. Choudhary
Ankit Agrawal
18
20
0
07 Mar 2019
Interpretable Deep Learning in Drug Discovery
Interpretable Deep Learning in Drug Discovery
Kristina Preuer
Günter Klambauer
F. Rippmann
Sepp Hochreiter
Thomas Unterthiner
24
88
0
07 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
36
257
0
06 Mar 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
52
1,043
0
26 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
37
12
0
26 Feb 2019
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
707
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
34
219
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
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDL
GNN
34
1
0
24 Jan 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
31
613
0
23 Jan 2019
Skeleton-based Action Recognition of People Handling Objects
Skeleton-based Action Recognition of People Handling Objects
Sunoh Kim
Kimin Yun
Jongyoul Park
J. Choi
29
37
0
21 Jan 2019
Human Pose Estimation with Spatial Contextual Information
Human Pose Estimation with Spatial Contextual Information
Hong Zhang
Hao Ouyang
Shu Liu
Xiaojuan Qi
Xiaoyong Shen
Ruigang Yang
Jiaya Jia
3DH
38
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
25
227
0
06 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
27
388
0
05 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
172
8,393
0
03 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNN
AAML
23
275
0
26 Dec 2018
Graph Transformation Policy Network for Chemical Reaction Prediction
Graph Transformation Policy Network for Chemical Reaction Prediction
Kien Do
T. Tran
Svetha Venkatesh
38
158
0
22 Dec 2018
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-Fu Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
43
5,416
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
59
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
38
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
206
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
32
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 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
33
5
0
25 Nov 2018
Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for
  Molecule Interpretation
Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
Hyeoncheol Cho
I. Choi
30
55
0
24 Nov 2018
On Filter Size in Graph Convolutional Networks
On Filter Size in Graph Convolutional Networks
D. V. Tran
Nicoló Navarin
A. Sperduti
GNN
49
50
0
23 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
30
51
0
22 Nov 2018
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