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Neural Message Passing for Quantum Chemistry

Neural Message Passing for Quantum Chemistry

4 April 2017
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
ArXivPDFHTML

Papers citing "Neural Message Passing for Quantum Chemistry"

50 / 3,528 papers shown
Title
Heterogeneous Graph Neural Networks for Extractive Document
  Summarization
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Danqing Wang
Pengfei Liu
Y. Zheng
Xipeng Qiu
Xuanjing Huang
12
277
0
26 Apr 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
Yue Yang
Y. Gao
AI4CE
42
8
0
25 Apr 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
30
393
0
23 Apr 2020
DeepPurpose: a Deep Learning Library for Drug-Target Interaction
  Prediction
DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction
Kexin Huang
Tianfan Fu
Lucas Glass
Marinka Zitnik
Cao Xiao
Jimeng Sun
VLM
30
17
0
19 Apr 2020
Continuous Representation of Molecules Using Graph Variational
  Autoencoder
Continuous Representation of Molecules Using Graph Variational Autoencoder
Mohammadamin Tavakoli
Pierre Baldi
BDL
GNN
DRL
19
9
0
17 Apr 2020
Network Medicine Framework for Identifying Drug Repurposing
  Opportunities for COVID-19
Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
D. Gysi
Ì. Valle
Marinka Zitnik
Asher Ameli
Xiao Gan
...
D. Ghiassian
R. Baron
Helia Sanchez
J. Loscalzo
Albert-László Barabási
12
438
0
15 Apr 2020
Neural Status Registers
Neural Status Registers
Lukas Faber
Roger Wattenhofer
33
9
0
15 Apr 2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
Yanyan Liang
Yanfeng Zhang
Dechao Gao
Qian Xu
GNN
22
4
0
15 Apr 2020
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge
  Transfer
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
Gi-Cheon Kang
Junseok Park
Hwaran Lee
Byoung-Tak Zhang
Jin-Hwa Kim
VLM
20
10
0
14 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph
  Neural Networks
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J Zaki
27
49
0
13 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
27
655
0
12 Apr 2020
Robust Line Segments Matching via Graph Convolution Networks
Robust Line Segments Matching via Graph Convolution Networks
QuanMeng Ma
Guang Jiang
DianZhi Lai
6
8
0
10 Apr 2020
SpatialSim: Recognizing Spatial Configurations of Objects with Graph
  Neural Networks
SpatialSim: Recognizing Spatial Configurations of Objects with Graph Neural Networks
Laetitia Teodorescu
Katja Hofmann
Pierre-Yves Oudeyer
28
1
0
09 Apr 2020
The general theory of permutation equivarant neural networks and higher
  order graph variational encoders
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Erik H. Thiede
Truong-Son Hy
Risi Kondor
32
35
0
08 Apr 2020
Graph-to-Tree Neural Networks for Learning Structured Input-Output
  Translation with Applications to Semantic Parsing and Math Word Problem
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem
Shucheng Li
Lingfei Wu
Shiwei Feng
Fangli Xu
Fengyuan Xu
Sheng Zhong
AIMat
34
71
0
07 Apr 2020
Geometrically Principled Connections in Graph Neural Networks
Geometrically Principled Connections in Graph Neural Networks
Shunwang Gong
Mehdi Bahri
M. Bronstein
Stefanos Zafeiriou
GNN
AI4CE
19
21
0
06 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the
  Message-Passing Framework
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
29
38
0
06 Apr 2020
Typilus: Neural Type Hints
Typilus: Neural Type Hints
Miltiadis Allamanis
Earl T. Barr
Soline Ducousso
Zheng Gao
35
131
0
06 Apr 2020
Distinguish Confusing Law Articles for Legal Judgment Prediction
Distinguish Confusing Law Articles for Legal Judgment Prediction
Nuo Xu
Pinghui Wang
Long Chen
Li Pan
Xiaoyan Wang
Junzhou Zhao
AILaw
23
160
0
06 Apr 2020
GIANT: Scalable Creation of a Web-scale Ontology
GIANT: Scalable Creation of a Web-scale Ontology
Bang Liu
Weidong Guo
Di Niu
Jinwen Luo
Chaoyue Wang
Zhen Wen
Yu-Syuan Xu
13
15
0
05 Apr 2020
Graph Sequential Network for Reasoning over Sequences
Graph Sequential Network for Reasoning over Sequences
Ming Tu
Jing Huang
Xiaodong He
Bowen Zhou
GNN
13
7
0
04 Apr 2020
LiDAR-based Online 3D Video Object Detection with Graph-based Message
  Passing and Spatiotemporal Transformer Attention
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
Junbo Yin
Jianbing Shen
Chenye Guan
Dingfu Zhou
Ruigang Yang
3DPC
26
137
0
03 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural
  Constraints
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints
Irene Vlassi Pandi
Earl T. Barr
Andrew D. Gordon
Charles Sutton
22
29
0
01 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
52
57
0
01 Apr 2020
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
Joon Hee Choi
Srikanth Malla
Jiachen Li
43
65
0
01 Apr 2020
Revisiting Over-smoothing in Deep GCNs
Revisiting Over-smoothing in Deep GCNs
Chaoqi Yang
Ruijie Wang
Shuochao Yao
Shengzhong Liu
Tarek Abdelzaher
34
95
0
30 Mar 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei
Chuang Niu
Yiping Tang
Yue Wang
Haihong Hu
Jimin Liang
30
7
0
28 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
24
151
0
28 Mar 2020
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
A. Avetisyan
T. Khanova
Chris Choy
D. Dash
Angela Dai
Matthias Nießner
3DPC
32
63
0
27 Mar 2020
Representations of molecules and materials for interpolation of
  quantum-mechanical simulations via machine learning
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer
Alex Goessmann
M. Rupp
AI4CE
33
92
0
26 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
50
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
End-to-End Entity Classification on Multimodal Knowledge Graphs
End-to-End Entity Classification on Multimodal Knowledge Graphs
W. X. Wilcke
Peter Bloem
Victor de Boer
R. V. Veer
F. V. Harmelen
19
24
0
25 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
90
56
0
23 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
166
226
0
23 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
22
3
0
23 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lio
M. Jamnik
GNN
AI4CE
51
27
0
21 Mar 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual
  Information Maximization
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization
Fei Ding
Xiaohong Zhang
Justin Sybrandt
Ilya Safro
SSL
21
6
0
18 Mar 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional
  Networks
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
GNN
31
109
0
18 Mar 2020
A Dynamic Reduction Network for Point Clouds
A Dynamic Reduction Network for Point Clouds
L. Gray
T. Klijnsma
Shamik Ghosh
3DPC
GNN
16
9
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
26
7
0
17 Mar 2020
Collaborative Motion Prediction via Neural Motion Message Passing
Collaborative Motion Prediction via Neural Motion Message Passing
Yue Hu
Siheng Chen
Ya Zhang
Xiao Gu
27
103
0
14 Mar 2020
Evaluating Logical Generalization in Graph Neural Networks
Evaluating Logical Generalization in Graph Neural Networks
Koustuv Sinha
Shagun Sodhani
Joelle Pineau
William L. Hamilton
NAI
AI4CE
38
23
0
14 Mar 2020
Automating Botnet Detection with Graph Neural Networks
Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou
Zhiying Xu
Alexander M. Rush
Minlan Yu
GNN
26
72
0
13 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
29
96
0
13 Mar 2020
Meta-Learning GNN Initializations for Low-Resource Molecular Property
  Prediction
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction
Cuong C. Nguyen
Constantine Kreatsoulas
K. Branson
AI4CE
22
14
0
12 Mar 2020
Learning distributed representations of graphs with Geo2DR
Learning distributed representations of graphs with Geo2DR
P. Scherer
Pietro Lio
GNN
19
4
0
12 Mar 2020
Learning Algebraic Multigrid Using Graph Neural Networks
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz
Meirav Galun
Haggai Maron
Ronen Basri
I. Yavneh
11
68
0
12 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering
Learning Diverse Fashion Collocation by Neural Graph Filtering
Xin Liu
Yongbin Sun
Ziwei Liu
Dahua Lin
34
26
0
11 Mar 2020
Hierarchical Human Parsing with Typed Part-Relation Reasoning
Hierarchical Human Parsing with Typed Part-Relation Reasoning
Wenguan Wang
Hailong Zhu
Jifeng Dai
Yanwei Pang
Jianbing Shen
Ling Shao
20
105
0
10 Mar 2020
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