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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
How hard is to distinguish graphs with graph neural networks?
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
25
6
0
13 May 2020
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand
  Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance
  Propagation
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation
Hyeoncheol Cho
E. Lee
I. Choi
GNN
FAtt
25
4
0
12 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
30
2,652
0
02 May 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
A Perspective on Deep Learning for Molecular Modeling and Simulations
Jun Zhang
Yao-Kun Lei
Zhen Zhang
Junhan Chang
Maodong Li
Xu Han
Lijiang Yang
Yuqing Yang
Y. Gao
AI4CE
29
8
0
25 Apr 2020
DeepGS: Deep Representation Learning of Graphs and Sequences for
  Drug-Target Binding Affinity Prediction
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction
Xuan Lin
41
55
0
31 Mar 2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann
M. Bokeloh
Alireza Fathi
Bastian Leibe
Matthias Nießner
3DPC
27
213
0
30 Mar 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
Jian Tang
19
151
0
28 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
38
120
0
26 Mar 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
21
60
0
26 Mar 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in
  Automated Anatomical Labeling of Coronary Arteries
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Han Yang
Xingjian Zhen
Ying Chi
Lei Zhang
Xiansheng Hua
MedIm
19
43
0
19 Mar 2020
Potential Neutralizing Antibodies Discovered for Novel Corona Virus
  Using Machine Learning
Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning
Rishikesh Magar
Prakarsh Yadav
A. Farimani
17
96
0
18 Mar 2020
A comprehensive study on the prediction reliability of graph neural
  networks for virtual screening
A comprehensive study on the prediction reliability of graph neural networks for virtual screening
Soojung Yang
K. Lee
Seongok Ryu
19
7
0
17 Mar 2020
Feedback Graph Convolutional Network for Skeleton-based Action
  Recognition
Feedback Graph Convolutional Network for Skeleton-based Action Recognition
Hao Yang
D. Yan
Ling Zhang
Dong Li
Yunda Sun
Shaodi You
Stephen J. Maybank
49
104
0
17 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
209
232
0
16 Mar 2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene
  Text Detection with Graph Convolutional Networks
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
Chixiang Ma
Lei-huan Sun
Zhuoyao Zhong
Qiang Huo
36
56
0
16 Mar 2020
Directional Message Passing for Molecular Graphs
Directional Message Passing for Molecular Graphs
Johannes Klicpera
Janek Groß
Stephan Günnemann
52
847
0
06 Mar 2020
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
106
49
0
27 Feb 2020
Neural Message Passing on High Order Paths
Neural Message Passing on High Order Paths
Daniel Flam-Shepherd
Tony C Wu
Pascal Friederich
Alán Aspuru-Guzik
GNN
AI4CE
24
49
0
24 Feb 2020
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep
  Learning
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning
M. Oldenhof
Adam Arany
Yves Moreau
Jaak Simm
GNN
26
51
0
23 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
29
90
0
21 Feb 2020
Molecule Attention Transformer
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
19
167
0
19 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
40
100
0
19 Feb 2020
Generalization and Representational Limits of Graph Neural Networks
Generalization and Representational Limits of Graph Neural Networks
Vikas K. Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
26
304
0
14 Feb 2020
Graph Deconvolutional Generation
Graph Deconvolutional Generation
Daniel Flam-Shepherd
Tony C Wu
Alán Aspuru-Guzik
BDL
28
31
0
14 Feb 2020
Can Graph Neural Networks Count Substructures?
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
57
319
0
10 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
21
279
0
08 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
13
232
0
08 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling
Structure-Feature based Graph Self-adaptive Pooling
Liang Zhang
Xudong Wang
Hongsheng Li
Guangming Zhu
Peiyi Shen
P. Li
Xiaoyuan Lu
Syed Afaq Ali Shah
Bennamoun
26
62
0
30 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
64
425
0
26 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S. Raschka
Benjamin Kaufman
AI4CE
24
67
0
17 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid Architecture
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
30
287
0
07 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
Retrosynthesis Prediction with Conditional Graph Logic Network
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
26
177
0
06 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
42
277
0
29 Dec 2019
Neural Design Network: Graphic Layout Generation with Constraints
Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee
Lu Jiang
Irfan Essa
Madison Le
Haifeng Gong
Ming-Hsuan Yang
Weilong Yang
37
136
0
19 Dec 2019
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li
Fernando Gama
Alejandro Ribeiro
Amanda Prorok
37
247
0
12 Dec 2019
Dual-Attention Graph Convolutional Network
Dual-Attention Graph Convolutional Network
Xueyao Zhang
Tong Zhang
Wenting Zhao
Zhen Cui
Jian Yang
GNN
17
8
0
28 Nov 2019
CASTER: Predicting Drug Interactions with Chemical Substructure
  Representation
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
Kexin Huang
Cao Xiao
T. Hoang
Lucas Glass
Jimeng Sun
24
124
0
15 Nov 2019
Multi-hop Convolutions on Weighted Graphs
Multi-hop Convolutions on Weighted Graphs
Qikui Zhu
Bo Du
Pingkun Yan
17
15
0
12 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark J. Coates
BDL
GNN
30
12
0
08 Nov 2019
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
60
945
0
06 Nov 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
28
370
0
28 Oct 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
50
685
0
28 Oct 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any
  Architecture are Gaussian Processes
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
33
190
0
28 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL
3DPC
16
379
0
27 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
17
80
0
25 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for
  Session-Aware Recommendation
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation
Mengqi Zhang
Shu Wu
Meng Gao
Xin Jiang
Ke Xu
Liang Wang
19
43
0
20 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Bernard Ghanem
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
Text Level Graph Neural Network for Text Classification
Text Level Graph Neural Network for Text Classification
Lianzhe Huang
Dehong Ma
Sujian Li
Xiaodong Zhang
Houfeng WANG
GNN
26
262
0
06 Oct 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy
  Neural Networks
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks
Tengfei Ma
Junyuan Shang
Cao Xiao
Jimeng Sun
GNN
19
13
0
04 Oct 2019
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