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
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Kien Do
T. Tran
Thin Nguyen
Svetha Venkatesh
51
17
0
01 Apr 2018
Graph Convolutional Neural Networks via Scattering
Graph Convolutional Neural Networks via Scattering
Dongmian Zou
Gilad Lerman
GNN
71
123
0
31 Mar 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
120
303
0
28 Mar 2018
Referring Relationships
Referring Relationships
Ranjay Krishna
Ines Chami
Michael S. Bernstein
Li Fei-Fei
102
95
0
28 Mar 2018
Inference in Probabilistic Graphical Models by Graph Neural Networks
Inference in Probabilistic Graphical Models by Graph Neural Networks
Kijung Yoon
Renjie Liao
Yuwen Xiong
Lisa Zhang
Ethan Fetaya
R. Urtasun
R. Zemel
Xaq Pitkow
TPM
190
102
0
21 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
61
76
0
16 Mar 2018
PotentialNet for Molecular Property Prediction
PotentialNet for Molecular Property Prediction
Evan N. Feinberg
Debnil Sur
Zhenqin Wu
B. Husic
Huanghao Mai
Yang Li
Saisai Sun
Jianyi Yang
Bharath Ramsundar
Vijay S. Pande
74
370
0
12 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning
Attention-based Graph Neural Network for Semi-supervised Learning
K. K. Thekumparampil
Chong-Jun Wang
Sewoong Oh
Li Li
GNN
98
335
0
10 Mar 2018
Learning Deep Generative Models of Graphs
Learning Deep Generative Models of Graphs
Yujia Li
Oriol Vinyals
Chris Dyer
Razvan Pascanu
Peter W. Battaglia
GNNAI4CE
208
663
0
08 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture
  for Learning Atomic Potentials
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials
Risi Kondor
AI4CE
95
108
0
05 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDLOCLDRL
211
292
0
28 Feb 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
121
1,954
0
27 Feb 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
144
980
0
22 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking
Machine Learning Methods for Data Association in Multi-Object Tracking
Patrick Emami
P. Pardalos
L. Elefteriadou
Sanjay Ranka
VOT
111
40
0
19 Feb 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNNOCL
101
135
0
15 Feb 2018
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in
  the Style of Alpha(Go) Zero
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero
Fei Wang
Tiark Rompf
NAI
40
6
0
14 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
165
93
0
14 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
398
1,377
0
12 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
174
500
0
11 Feb 2018
Learning a SAT Solver from Single-Bit Supervision
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam
Matthew Lamm
Benedikt Bünz
Percy Liang
L. D. Moura
D. Dill
NAI
127
426
0
11 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNNBDL
159
858
0
09 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik
Monica Agrawal
J. Leskovec
GNN
128
1,099
0
02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
206
1,521
0
30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
402
6,205
0
24 Jan 2018
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
92
168
0
07 Jan 2018
Improving Malware Detection Accuracy by Extracting Icon Information
Improving Malware Detection Accuracy by Extracting Icon Information
Pedro Silva
Sepehr Akhavan Masouleh
Li Li
48
4
0
10 Dec 2017
Semi-supervised learning of hierarchical representations of molecules
  using neural message passing
Semi-supervised learning of hierarchical representations of molecules using neural message passing
Hai V. Nguyen
S. Maeda
Kenta Oono
61
13
0
28 Nov 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN3DPC
205
1,261
0
27 Nov 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
3DPC
194
442
0
24 Nov 2017
Recurrent Relational Networks
Recurrent Relational Networks
Rasmus Berg Palm
Ulrich Paquet
Ole Winther
GNNReLMNAI
121
142
0
21 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
127
487
0
20 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
188
1,241
0
10 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNNNAI
123
809
0
01 Nov 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNNDiffM
91
394
0
27 Oct 2017
Learning Graph Representations with Embedding Propagation
Learning Graph Representations with Embedding Propagation
Alberto García-Durán
Mathias Niepert
GNNSSL
110
168
0
09 Oct 2017
Hierarchical modeling of molecular energies using a deep neural network
Hierarchical modeling of molecular energies using a deep neural network
Nicholas Lubbers
Justin S. Smith
K. Barros
AI4CEBDL
90
272
0
29 Sep 2017
Combining Machine Learning and Physics to Understand Glassy Systems
Combining Machine Learning and Physics to Understand Glassy Systems
S. Schoenholz
AI4CE
65
20
0
23 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
210
1,981
0
17 Sep 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin
Connor W. Coley
Regina Barzilay
Tommi Jaakkola
114
277
0
13 Sep 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
170
1,088
0
26 Jun 2017
Revised Note on Learning Algorithms for Quadratic Assignment with Graph
  Neural Networks
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
164
118
0
22 Jun 2017
Programmable Agents
Programmable Agents
Misha Denil
Sergio Gomez Colmenarejo
Serkan Cabi
D. Saxton
Nando de Freitas
AI4CE
92
42
0
20 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
78
56
0
08 Jun 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
134
1,267
0
07 Jun 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
89
101
0
30 May 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
125
78
0
23 May 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings
Ivan Titov
Wilker Aziz
Diego Marcheggiani
K. Simaán
GNN
148
492
0
15 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
210
4,857
0
17 Mar 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNNNAI
89
833
0
14 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
99
22
0
02 Mar 2017
Previous
123...646566
Next