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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 / 493 papers shown
Title
Understanding and Improving Deep Graph Neural Networks: A Probabilistic
  Graphical Model Perspective
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Jiayuan Chen
Xiang Zhang
Yinfei Xu
Tianli Zhao
Renjie Xie
Wei Xu
GNN
BDL
21
0
0
25 Jan 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNN
AI4CE
22
179
0
19 Jan 2023
Machine Learning Approach to Polymerization Reaction Engineering:
  Determining Monomers Reactivity Ratios
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios
Tung Nguyen
Mona Bavarian
11
0
0
03 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
47
88
0
27 Dec 2022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and
  Editing
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu
Weili Nie
Chengpeng Wang
Jiarui Lu
Zhuoran Qiao
Ling Liu
Jian Tang
Chaowei Xiao
Anima Anandkumar
28
152
0
21 Dec 2022
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
Maciej Majewski
Adriana Pérez
Philipp Thölke
Stefan Doerr
N. Charron
T. Giorgino
B. Husic
C. Clementi
Frank Noé
Gianni De Fabritiis
AI4CE
21
70
0
14 Dec 2022
Improving Molecule Properties Through 2-Stage VAE
Improving Molecule Properties Through 2-Stage VAE
Chenghui Zhou
Barnabás Póczós
DRL
28
1
0
06 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
23
10
0
29 Nov 2022
BARTSmiles: Generative Masked Language Models for Molecular
  Representations
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan
Hovhannes Tamoyan
Ani Tevosyan
N. Babayan
L. Khondkaryan
Karen Hambardzumyan
Zaven Navoyan
Hrant Khachatrian
Armen Aghajanyan
SSL
29
25
0
29 Nov 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci
  Curvature
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
K. Nguyen
Hieu Nong
T. Nguyen
Nhat Ho
Khuong N. Nguyen
Vinh Phu Nguyen
27
62
0
28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings
Beyond 1-WL with Local Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
38
5
0
27 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
37
20
0
12 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional
  Networks
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks
Kaixiong Zhou
Zhenyu (Allen) Zhang
Sheng-Wei Chen
Tianlong Chen
Xiao Huang
Zhangyang Wang
Xia Hu
GNN
30
2
0
09 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
16
5
0
07 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources
Unlearning Graph Classifiers with Limited Data Resources
Chao Pan
Eli Chien
O. Milenkovic
MU
25
32
0
06 Nov 2022
MolE: a molecular foundation model for drug discovery
MolE: a molecular foundation model for drug discovery
Oscar Méndez-Lucio
C. Nicolaou
Berton A. Earnshaw
4
11
0
03 Nov 2022
A 3D-Shape Similarity-based Contrastive Approach to Molecular
  Representation Learning
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
Austin O. Atsango
N. Diamant
Ziqing Lu
Tommaso Biancalani
Gabriele Scalia
Kangway V Chuang
27
2
0
03 Nov 2022
Clenshaw Graph Neural Networks
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
58
10
0
29 Oct 2022
Training Graph Neural Networks on Growing Stochastic Graphs
Training Graph Neural Networks on Growing Stochastic Graphs
J. Cerviño
Luana Ruiz
Alejandro Ribeiro
GNN
11
8
0
27 Oct 2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lió
Carla P. Gomes
Max Welling
Michael M. Bronstein
B. Correia
DiffM
42
195
0
24 Oct 2022
Investigation of chemical structure recognition by encoder-decoder
  models in learning progress
Investigation of chemical structure recognition by encoder-decoder models in learning progress
Katsuhisa Morita
T. Mizuno
Hiroyuki Kusuhara
19
8
0
24 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
84
47
0
22 Oct 2022
Machine Learning for a Sustainable Energy Future
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
32
209
0
19 Oct 2022
On Classification Thresholds for Graph Attention with Edge Features
On Classification Thresholds for Graph Attention with Edge Features
K. Fountoulakis
Dake He
Silvio Lattanzi
Bryan Perozzi
Anton Tsitsulin
Shenghao Yang
GNN
30
6
0
18 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork
SHINE: SubHypergraph Inductive Neural nEtwork
Yuan Luo
29
13
0
13 Oct 2022
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A
  Comparative Study
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study
Ieva Staliunaite
P. Gorinski
Ignacio Iacobacci
GNN
22
0
0
12 Oct 2022
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action
  Recognition
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition
Haodong Duan
Jiaqi Wang
Kai-xiang Chen
Dahua Lin
30
42
0
12 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
40
100
0
09 Oct 2022
Generalized energy and gradient flow via graph framelets
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
72
13
0
08 Oct 2022
Towards Real-Time Temporal Graph Learning
Towards Real-Time Temporal Graph Learning
Deniz Gurevin
Mohsin Shan
Tong Geng
Weiwen Jiang
Caiwen Ding
O. Khan
AI4TS
AI4CE
37
0
0
08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
96
52
0
06 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
48
0
02 Oct 2022
Accurate, reliable and interpretable solubility prediction of druglike
  molecules with attention pooling and Bayesian learning
Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning
Seongok Ryu
Sumin Lee
16
5
0
29 Sep 2022
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition
  Prediction Model
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model
Shilin Pu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
217
0
0
08 Sep 2022
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Sung Moon Ko
Sungjun Cho
Dae-Woong Jeong
Sehui Han
Moontae Lee
Ho Hin Lee
18
9
0
07 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate
  Graph Neural Networks
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
16
1
0
07 Sep 2022
TransPolymer: a Transformer-based language model for polymer property
  predictions
TransPolymer: a Transformer-based language model for polymer property predictions
Changwen Xu
Yuyang Wang
A. Farimani
24
86
0
03 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative
  Modeling
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
26
6
0
25 Aug 2022
Hierarchically Decomposed Graph Convolutional Networks for
  Skeleton-Based Action Recognition
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
Junghoon Lee
Minhyeok Lee
Dogyoon Lee
Sangyoon Lee
BDL
26
130
0
23 Aug 2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of
  Related Mathematical Expressions in Scientific Articles
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
Lukas Pfahler
K. Morik
SSL
10
4
0
22 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Dawei Zhou
Lecheng Zheng
Dongqi Fu
Jiawei Han
Jingrui He
33
22
0
21 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
50
373
0
05 Aug 2022
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance
  Data
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data
Tomás Pevný
Viliam Lisý
B. Bosanský
P. Somol
Michal Pěchouček
19
1
0
04 Aug 2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D
  Video Object Detection from Point Clouds
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Junbo Yin
Jianbing Shen
Xin Gao
David J. Crandall
Ruigang Yang
3DPC
ViT
38
59
0
26 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Bo Du
Wenbin Hu
Danilo P. Mandic
39
28
0
18 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
  Model
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
Li Zhang
21
24
0
14 Jul 2022
Context-aware Self-supervised Learning for Medical Images Using Graph
  Neural Network
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network
Li Sun
K. Yu
Kayhan Batmanghelich
SSL
18
1
0
06 Jul 2022
Image Aesthetics Assessment Using Graph Attention Network
Image Aesthetics Assessment Using Graph Attention Network
Koustav Ghosal
A. Smolic
4
5
0
26 Jun 2022
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