ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.01212
  4. Cited By
Neural Message Passing for Quantum Chemistry
v1v2 (latest)

Neural Message Passing for Quantum Chemistry

4 April 2017
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
ArXiv (abs)PDFHTML

Papers citing "Neural Message Passing for Quantum Chemistry"

50 / 3,251 papers shown
Title
Missing Data Imputation with Adversarially-trained Graph Convolutional
  Networks
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
Indro Spinelli
Simone Scardapane
A. Uncini
MedImAI4CE
91
154
0
06 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning
Edge-labeling Graph Neural Network for Few-shot Learning
Jongmin Kim
Taesup Kim
Sungwoong Kim
Chang D. Yoo
104
457
0
04 May 2019
Stability and Generalization of Graph Convolutional Neural Networks
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNNMLT
124
159
0
03 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac
Yu-Hsiang Huang
Petar Velickovic
Pietro Lio
Jian Tang
99
81
0
02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
156
923
0
30 Apr 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
185
337
0
30 Apr 2019
Advancing GraphSAGE with A Data-Driven Node Sampling
Advancing GraphSAGE with A Data-Driven Node Sampling
Jihun Oh
Kyunghyun Cho
Joan Bruna
51
26
0
29 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
128
536
0
29 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks
A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer
Tomás Maul
93
82
0
29 Apr 2019
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
145
125
0
27 Apr 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAILRMAI4CE
141
250
0
26 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
GNNBDLCML
118
203
0
24 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
70
24
0
24 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDLCMLGNN
94
490
0
22 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
Rami Al-Rfou
Dustin Zelle
Bryan Perozzi
52
57
0
21 Apr 2019
Graph Element Networks: adaptive, structured computation and memory
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet
Adarsh K. Jeewajee
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
AI4CEGNN
128
76
0
18 Apr 2019
DScribe: Library of Descriptors for Machine Learning in Materials
  Science
DScribe: Library of Descriptors for Machine Learning in Materials Science
Lauri Himanen
M. Jäger
Eiaki V. Morooka
F. F. Canova
Y. S. Ranawat
D. Gao
Patrick Rinke
A. Foster
61
591
0
18 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
Guillaume Jaume
An-phi Nguyen
María Rodríguez Martínez
Jean-Philippe Thiran
M. Gabrani
69
22
0
18 Apr 2019
Predicting drug-target interaction using 3D structure-embedded graph
  representations from graph neural networks
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks
Jaechang Lim
Seongok Ryu
Kyubyong Park
Yo Joong Choe
Jiyeon Ham
W. Kim
GNN
22
5
0
17 Apr 2019
Self-Attention Graph Pooling
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
194
1,133
0
17 Apr 2019
Neural Message Passing for Multi-Label Classification
Neural Message Passing for Multi-Label Classification
Jack Lanchantin
Arshdeep Sekhon
Yanjun Qi
64
38
0
17 Apr 2019
Recurrent Space-time Graph Neural Networks
Recurrent Space-time Graph Neural Networks
Andrei Liviu Nicolicioiu
Iulia Duta
Marius Leordeanu
GNN
128
45
0
11 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
128
117
0
11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
66
47
0
09 Apr 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Long Zhao
Xi Peng
Yu Tian
Mubbasir Kapadia
Dimitris N. Metaxas
3DH
110
514
0
06 Apr 2019
Structured agents for physical construction
Structured agents for physical construction
V. Bapst
Alvaro Sanchez-Gonzalez
Carl Doersch
Kimberly L. Stachenfeld
Pushmeet Kohli
Peter W. Battaglia
Jessica B. Hamrick
AI4CE
133
99
0
05 Apr 2019
Neural Program Repair by Jointly Learning to Localize and Repair
Neural Program Repair by Jointly Learning to Localize and Repair
Marko Vasic
Aditya Kanade
Petros Maniatis
David Bieber
Rishabh Singh
72
132
0
03 Apr 2019
Analyzing Learned Molecular Representations for Property Prediction
Analyzing Learned Molecular Representations for Property Prediction
Kevin Kaichuang Yang
Kyle Swanson
Wengong Jin
Connor W. Coley
Philipp Eiden
...
Andrew Palmer
Volker Settels
Tommi Jaakkola
K. Jensen
Regina Barzilay
155
1,338
0
02 Apr 2019
Clique pooling for graph classification
Clique pooling for graph classification
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
195
36
0
31 Mar 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedImGNN
88
59
0
31 Mar 2019
Molecular geometry prediction using a deep generative graph neural
  network
Molecular geometry prediction using a deep generative graph neural network
Elman Mansimov
Omar Mahmood
Seokho Kang
Kyunghyun Cho
128
189
0
31 Mar 2019
Learning Discrete Structures for Graph Neural Networks
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi
Mathias Niepert
Massimiliano Pontil
X. He
GNN
115
414
0
28 Mar 2019
A Survey on Graph Kernels
A Survey on Graph Kernels
Nils M. Kriege
Fredrik D. Johansson
Christopher Morris
155
423
0
28 Mar 2019
Step Change Improvement in ADMET Prediction with PotentialNet Deep
  Featurization
Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization
Evan N. Feinberg
Robert P. Sheridan
E. Joshi
Vijay S. Pande
A. Cheng
MedIm
43
17
0
28 Mar 2019
Batched Sparse Matrix Multiplication for Accelerating Graph
  Convolutional Networks
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
Yusuke Nagasaka
Akira Nukada
Ryosuke Kojima
Satoshi Matsuoka
GNN
44
10
0
27 Mar 2019
Interoperability and machine-to-machine translation model with mappings
  to machine learning tasks
Interoperability and machine-to-machine translation model with mappings to machine learning tasks
Jacob Nilsson
Fredrik Sandin
J. Delsing
AI4CE
63
18
0
26 Mar 2019
MeshGAN: Non-linear 3D Morphable Models of Faces
MeshGAN: Non-linear 3D Morphable Models of Faces
Shiyang Cheng
M. Bronstein
Yuxiang Zhou
I. Kotsia
Maja Pantic
Stefanos Zafeiriou
CVBM3DHGAN
72
81
0
25 Mar 2019
Uncertainty quantification of molecular property prediction with
  Bayesian neural networks
Uncertainty quantification of molecular property prediction with Bayesian neural networks
Seongok Ryu
Yongchan Kwon
W. Kim
BDL
62
18
0
20 Mar 2019
Visual Semantic Information Pursuit: A Survey
Visual Semantic Information Pursuit: A Survey
Daqi Liu
M. Bober
J. Kittler
75
32
0
13 Mar 2019
Graph Colouring Meets Deep Learning: Effective Graph Neural Network
  Models for Combinatorial Problems
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Henrique Lemos
Marcelo O. R. Prates
Pedro H. C. Avelar
Luís C. Lamb
GNN
88
85
0
11 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
163
1,336
0
10 Mar 2019
Interpretable Deep Learning in Drug Discovery
Interpretable Deep Learning in Drug Discovery
Kristina Preuer
Günter Klambauer
F. Rippmann
Sepp Hochreiter
Thomas Unterthiner
83
89
0
07 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
157
262
0
06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
310
4,375
0
06 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu
Shizhen Xu
Meng Qu
Jian Tang
GNN
117
114
0
02 Mar 2019
Differentiable Scene Graphs
Differentiable Scene Graphs
Moshiko Raboh
Roei Herzig
Gal Chechik
Jonathan Berant
Amir Globerson
OCL
99
34
0
26 Feb 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
137
1,092
0
26 Feb 2019
Star-Transformer
Star-Transformer
Qipeng Guo
Xipeng Qiu
Pengfei Liu
Yunfan Shao
Xiangyang Xue
Zheng Zhang
96
265
0
25 Feb 2019
Capsule Neural Networks for Graph Classification using Explicit
  Tensorial Graph Representations
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
Marcelo Daniel Gutierrez Mallea
Peter Meltzer
Peter J Bentley
GNN
51
21
0
22 Feb 2019
Learning representations of irregular particle-detector geometry with
  distance-weighted graph networks
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
105
137
0
21 Feb 2019
Previous
123...616263646566
Next