Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1704.01212
Cited By
Neural Message Passing for Quantum Chemistry
4 April 2017
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Neural Message Passing for Quantum Chemistry"
50 / 3,536 papers shown
Title
Attention to Mean-Fields for Particle Cloud Generation
Benno Kach
I. Melzer-Pellmann
DiffM
34
15
0
24 May 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
OCL
50
14
0
24 May 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Kexin Huang
Ying Jin
Emmanuel Candès
J. Leskovec
71
61
0
23 May 2023
Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science
D. P. Kovács
Ilyes Batatia
E. Arany
Gábor Csányi
AI4CE
43
84
0
23 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
57
25
0
23 May 2023
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
CML
GNN
42
5
0
22 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing
Sohir Maskey
Raffaele Paolino
Aras Bacho
Gitta Kutyniok
67
32
0
22 May 2023
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
38
15
0
22 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs
Jinsong Chen
Chang-Shu Liu
Kai-Xin Gao
Gaichao Li
Kun He
38
4
0
22 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning
Jiahao Chen
Yurou Liu
Jiangmeng Li
Fuchun Sun
Jirong Wen
34
0
0
22 May 2023
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
40
10
0
21 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Guangsi Shi
Daokun Zhang
Ming Jin
Shirui Pan
Philip S. Yu
AI4CE
37
4
0
21 May 2023
Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network
Chen Zhao
Zhihui Xu
Guang-Uei Hung
Weihua Zhou
15
6
0
21 May 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
Shiyu Liu
Linsen Wei
Shaogao Lv
Ming Li
MLT
30
0
0
20 May 2023
PANNA 2.0: Efficient neural network interatomic potentials and new architectures
Franco Pellegrini
Ruggero Lot
Yusuf Shaidu
E. Küçükbenli
17
9
0
19 May 2023
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
45
11
0
19 May 2023
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen
Hao Hao Tan
Tao Wang
Tianrun Shen
Tong Lu
Qiuying Peng
Cheng Cheng
Yue Qi
40
11
0
19 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design
Andrew Holliday
Gregory Dudek
22
1
0
18 May 2023
Clifford Group Equivariant Neural Networks
David Ruhe
Johannes Brandstetter
Patrick Forré
42
40
0
18 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos
Z. Fox
Nicholas Lubbers
Yen Ting Lin
DiffM
36
17
0
18 May 2023
Interpretable Graph Networks Formulate Universal Algebra Conjectures
Francesco Giannini
S. Fioravanti
Oguzhan Keskin
A. Lupidi
Lucie Charlotte Magister
Pietro Lio
Pietro Barbiero
AI4CE
31
4
0
17 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
48
5
0
17 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi
Bertrand Charpentier
Francesco Di Giovanni
Fabrizio Frasca
Stephan Günnemann
Michael M. Bronstein
41
58
0
17 May 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli
James Harrison
Kaidi Yang
Marco Pavone
Filipe Rodrigues
Francisco Câmara Pereira
AI4CE
49
6
0
16 May 2023
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing
King Fai Yeh
Paris D. L. Flood
William T. Redman
Pietro Lio
40
1
0
15 May 2023
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
51
5
0
15 May 2023
Decoupled Graph Neural Networks for Large Dynamic Graphs
Yanping Zheng
Zhewei Wei
Jiajun Liu
GNN
BDL
AI4TS
AI4CE
34
13
0
14 May 2023
CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning
Colin A. Grambow
Hayley Weir
Christian N Cunningham
Tommaso Biancalani
Kangway V Chuang
37
6
0
14 May 2023
DRew: Dynamically Rewired Message Passing with Delay
Benjamin Gutteridge
Xiaowen Dong
Michael M. Bronstein
Francesco Di Giovanni
51
60
0
13 May 2023
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
45
5
0
12 May 2023
E(n) Equivariant Message Passing Simplicial Networks
Floor Eijkelboom
Rob D. Hesselink
Erik J. Bekkers
24
15
0
11 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Mingqi Yang
Wenjie Feng
Yanming Shen
Bryan Hooi
58
5
0
10 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
Yuxiao Cheng
Lianglong Li
Tingxiong Xiao
Zongren Li
Qionghai Dai
J. Suo
K. He
CML
BDL
AI4TS
43
23
0
10 May 2023
Message Passing Neural Networks for Traffic Forecasting
Arian Prabowo
Hao Xue
Wei Shao
Piotr Koniusz
Flora D. Salim
GNN
33
6
0
09 May 2023
Rotation Synchronization via Deep Matrix Factorization
Gk Tejus
Giacomo Zara
Paolo Rota
Andrea Fusiello
Elisa Ricci
F. Arrigoni
38
9
0
09 May 2023
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
Lu Ling
Washim Uddin Mondal
Satish V
S. Ukkusuri
20
10
0
09 May 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Junran Wu
Xueyuan Chen
Bowen Shi
Shangzhe Li
Ke Xu
22
8
0
08 May 2023
Materials Informatics: An Algorithmic Design Rule
B. Bishnoi
19
0
0
05 May 2023
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
32
15
0
04 May 2023
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation
Chenzhang Shang
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Jing Zhang
68
11
0
04 May 2023
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation
Renshen Wang
Yasuhisa Fujii
Alessandro Bissacco
GNN
40
6
0
04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
Jou-An Chen
Hsin-Hsuan Sung
Xipeng Shen
Sutanay Choudhury
Ang Li
GNN
MQ
44
7
0
04 May 2023
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
31
33
0
03 May 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Gaia Saveri
Luca Bortolussi
NAI
51
3
0
03 May 2023
An Exploration of Conditioning Methods in Graph Neural Networks
Yeskendir Koishekenov
Erik J. Bekkers
AI4CE
75
3
0
03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
41
6
0
02 May 2023
Stress and heat flux via automatic differentiation
Marcel F. Langer
J. Frank
Florian Knoop
35
9
0
02 May 2023
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
48
1
0
01 May 2023
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search
Abu Reyan Ahmed
Mithun Ghosh
Kwang-Sung Jun
Stephen Kobourov
27
0
0
30 Apr 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee
Dongmin Hyun
Gyoung S. Na
Sungwon Kim
Junseok Lee
Chanyoung Park
52
24
0
29 Apr 2023
Previous
1
2
3
...
22
23
24
...
69
70
71
Next