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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 / 3,579 papers shown
Title
Causal-Based Supervision of Attention in Graph Neural Network: A Better
  and Simpler Choice towards Powerful Attention
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
Hongjun Wang
Jiyuan Chen
Lun Du
Qiang Fu
Shi Han
Xuan Song
CMLGNN
83
5
0
22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing
A Fractional Graph Laplacian Approach to Oversmoothing
Sohir Maskey
Raffaele Paolino
Aras Bacho
Gitta Kutyniok
122
37
0
22 May 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for
  regression of physical problems under non-parameterized geometrical
  variability
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
F. Casenave
B. Staber
Xavier Roynard
AI4CE
74
17
0
22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node
  Classification in Large Graphs
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
Jinsong Chen
Chang-Shu Liu
Kai-Xin Gao
Gaichao Li
Kun He
99
4
0
22 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular
  Representation Learning
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Fuchun Sun
Jirong Wen
58
1
0
22 May 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification
  via Predicted Instance Neighborhood Aggregation
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien
Jiong Zhang
Cho-Jui Hsieh
Jyun-Yu Jiang
Wei-Cheng Chang
O. Milenkovic
Hsiang-Fu Yu
86
10
0
21 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Guangsi Shi
Daokun Zhang
Ming Jin
Shirui Pan
Philip S. Yu
AI4CE
97
4
0
21 May 2023
Coronary Artery Semantic Labeling using Edge Attention Graph Matching
  Network
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network
Chen Zhao
Zhihui Xu
Guang-Uei Hung
Weihua Zhou
39
7
0
21 May 2023
Stability and Generalization of lp-Regularized Stochastic Learning for
  GCN
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
Shiyu Liu
Linsen Wei
Shaogao Lv
Ming Li
MLT
76
0
0
20 May 2023
PANNA 2.0: Efficient neural network interatomic potentials and new
  architectures
PANNA 2.0: Efficient neural network interatomic potentials and new architectures
Franco Pellegrini
Ruggero Lot
Yusuf Shaidu
E. Küçükbenli
31
9
0
19 May 2023
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action
  Recognition through Redefined Skeletal Topology Awareness
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness
Yuxuan Zhou
Zhi-Qi Cheng
Ju He
Bin Luo
Yifeng Geng
Xuansong Xie
120
11
0
19 May 2023
Graph Propagation Transformer for Graph Representation Learning
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen
Hao Hao Tan
Tao Wang
Tianrun Shen
Tong Lu
Qiuying Peng
Cheng Cheng
Yue Qi
82
13
0
19 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network
  Design
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design
Andrew Holliday
Gregory Dudek
27
2
0
18 May 2023
Clifford Group Equivariant Neural Networks
Clifford Group Equivariant Neural Networks
David Ruhe
Johannes Brandstetter
Patrick Forré
115
42
0
18 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos
Z. Fox
Nicholas Lubbers
Yen Ting Lin
DiffM
88
20
0
18 May 2023
Interpretable Graph Networks Formulate Universal Algebra Conjectures
Interpretable Graph Networks Formulate Universal Algebra Conjectures
Francesco Giannini
S. Fioravanti
Oguzhan Keskin
A. Lupidi
Lucie Charlotte Magister
Pietro Lio
Pietro Barbiero
AI4CE
62
4
0
17 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced
  Sum-Product Networks
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
98
5
0
17 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
131
71
0
17 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level
  Optimization
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli
James Harrison
Kaidi Yang
Marco Pavone
Filipe Rodrigues
Francisco Câmara Pereira
AI4CE
92
8
0
16 May 2023
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman
  Message Passing
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing
King Fai Yeh
Paris D. L. Flood
William T. Redman
Pietro Lio
69
1
0
15 May 2023
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Yiheng Zhu
Zhenqiu Ouyang
Ben Liao
Jialun Wu
YiXuan Wu
Chang-Yu Hsieh
Tingjun Hou
Jian Wu
AI4CE
83
5
0
15 May 2023
Decoupled Graph Neural Networks for Large Dynamic Graphs
Decoupled Graph Neural Networks for Large Dynamic Graphs
Yanping Zheng
Zhewei Wei
Jiajun Liu
GNNBDLAI4TSAI4CE
55
14
0
14 May 2023
CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine
  Learning
CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning
Colin A. Grambow
Hayley Weir
Christian N Cunningham
Tommaso Biancalani
Kangway V Chuang
69
8
0
14 May 2023
DRew: Dynamically Rewired Message Passing with Delay
DRew: Dynamically Rewired Message Passing with Delay
Benjamin Gutteridge
Xiaowen Dong
Michael M. Bronstein
Francesco Di Giovanni
93
67
0
13 May 2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A
  New Zealand's study
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
V. Nguyen
Truong-Son Hy
Long Tran-Thanh
N. Nghiem
93
8
0
12 May 2023
E(n) Equivariant Message Passing Simplicial Networks
E(n) Equivariant Message Passing Simplicial Networks
Floor Eijkelboom
Rob D. Hesselink
Erik J. Bekkers
81
15
0
11 May 2023
Towards Better Graph Representation Learning with Parameterized
  Decomposition & Filtering
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Mingqi Yang
Wenjie Feng
Yanming Shen
Bryan Hooi
119
5
0
10 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
Yuxiao Cheng
Lianglong Li
Tingxiong Xiao
Zongren Li
Qionghai Dai
J. Suo
K. He
CMLBDLAI4TS
99
27
0
10 May 2023
Message Passing Neural Networks for Traffic Forecasting
Message Passing Neural Networks for Traffic Forecasting
Arian Prabowo
Hao Xue
Wei Shao
Piotr Koniusz
Flora D. Salim
GNN
58
6
0
09 May 2023
Rotation Synchronization via Deep Matrix Factorization
Rotation Synchronization via Deep Matrix Factorization
Gk Tejus
Giacomo Zara
Paolo Rota
Andrea Fusiello
Elisa Ricci
F. Arrigoni
54
9
0
09 May 2023
Cooperating Graph Neural Networks with Deep Reinforcement Learning for
  Vaccine Prioritization
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
Lu Ling
Washim Uddin Mondal
Satish V
S. Ukkusuri
27
11
0
09 May 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive
  Learning
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Junran Wu
Xueyuan Chen
Bowen Shi
Shangzhe Li
Ke Xu
65
8
0
08 May 2023
Materials Informatics: An Algorithmic Design Rule
Materials Informatics: An Algorithmic Design Rule
B. Bishnoi
58
0
0
05 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic
  Neighborhood Expansion Analysis and Caching
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Tim Kaler
A. Iliopoulos
P. Murzynowski
Tao B. Schardl
C. E. Leiserson
Jie Chen
GNN
82
16
0
04 May 2023
Multi-grained Hypergraph Interest Modeling for Conversational
  Recommendation
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation
Chenzhang Shang
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Jing Zhang
119
12
0
04 May 2023
Text Reading Order in Uncontrolled Conditions by Sparse Graph
  Segmentation
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation
Renshen Wang
Yasuhisa Fujii
Alessandro Bissacco
GNN
57
6
0
04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural
  Networks on GPUs
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
Jou-An Chen
Hsin-Hsuan Sung
Xipeng Shen
Sutanay Choudhury
Ang Li
GNNMQ
84
7
0
04 May 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT
  Knowledge to Graphs
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
Yucheng Shi
Hehuan Ma
Wenliang Zhong
Qiaoyu Tan
Gengchen Mai
Xiang Li
Tianming Liu
Junzhou Huang
AI4MH
73
35
0
03 May 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Gaia Saveri
Luca Bortolussi
NAI
78
3
0
03 May 2023
An Exploration of Conditioning Methods in Graph Neural Networks
An Exploration of Conditioning Methods in Graph Neural Networks
Yeskendir Koishekenov
Erik J. Bekkers
AI4CE
123
3
0
03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
65
6
0
02 May 2023
Stress and heat flux via automatic differentiation
Stress and heat flux via automatic differentiation
Marcel F. Langer
J. Frank
Florian Knoop
73
8
0
02 May 2023
3D Molecular Geometry Analysis with 2D Graphs
3D Molecular Geometry Analysis with 2D Graphs
Zhao Xu
Yaochen Xie
Youzhi Luo
Xuan Zhang
Xinyi Xu
Meng Liu
Kaleb Dickerson
Cheng Deng
Maho Nakata
Shuiwang Ji
69
1
0
01 May 2023
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte
  Carlo Tree Search
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search
Abu Reyan Ahmed
Mithun Ghosh
Kwang-Sung Jun
Stephen Kobourov
53
0
0
30 Apr 2023
Conditional Graph Information Bottleneck for Molecular Relational
  Learning
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee
Dongmin Hyun
Gyoung S. Na
Sungwon Kim
Junseok Lee
Chanyoung Park
109
27
0
29 Apr 2023
Learning Graph Neural Networks using Exact Compression
Learning Graph Neural Networks using Exact Compression
Jeroen Bollen
Jasper Steegmans
Jan Van den Bussche
Stijn Vansummeren
GNNAI4CE
64
4
0
28 Apr 2023
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable
  Linear State Estimation with PMUs
Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs
O. Kundacina
M. Cosovic
D. Mišković
D. Vukobratović
57
9
0
28 Apr 2023
MUDiff: Unified Diffusion for Complete Molecule Generation
MUDiff: Unified Diffusion for Complete Molecule Generation
Chenqing Hua
Sitao Luan
Minkai Xu
Rex Ying
Jie Fu
Stefano Ermon
Doina Precup
DiffM
132
37
0
28 Apr 2023
Performance Optimization using Multimodal Modeling and Heterogeneous GNN
Performance Optimization using Multimodal Modeling and Heterogeneous GNN
Akashnil Dutta
J. Alcaraz
Ali TehraniJamsaz
E. César
A. Sikora
Ali Jannesari
77
10
0
25 Apr 2023
Context-enriched molecule representations improve few-shot drug
  discovery
Context-enriched molecule representations improve few-shot drug discovery
Johannes Schimunek
Philipp Seidl
Lukas Friedrich
Daniel Kuhn
F. Rippmann
Sepp Hochreiter
Günter Klambauer
93
28
0
24 Apr 2023
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