Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1704.01212
Cited By
v1
v2 (latest)
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 (abs)
PDF
HTML
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
Hongjun Wang
Jiyuan Chen
Lun Du
Qiang Fu
Shi Han
Xuan Song
CML
GNN
83
5
0
22 May 2023
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
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
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
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
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
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
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
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
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
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
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
Andrew Holliday
Gregory Dudek
27
2
0
18 May 2023
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
Javier E. Santos
Z. Fox
Nicholas Lubbers
Yen Ting Lin
DiffM
88
20
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
62
4
0
17 May 2023
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
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
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
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
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
Yanping Zheng
Zhewei Wei
Jiajun Liu
GNN
BDL
AI4TS
AI4CE
55
14
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
69
8
0
14 May 2023
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
V. Nguyen
Truong-Son Hy
Long Tran-Thanh
N. Nghiem
93
8
0
12 May 2023
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
Mingqi Yang
Wenjie Feng
Yanming Shen
Bryan Hooi
119
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
99
27
0
10 May 2023
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
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
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
Junran Wu
Xueyuan Chen
Bowen Shi
Shangzhe Li
Ke Xu
65
8
0
08 May 2023
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
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
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
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
Jou-An Chen
Hsin-Hsuan Sung
Xipeng Shen
Sutanay Choudhury
Ang Li
GNN
MQ
84
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
73
35
0
03 May 2023
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
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
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
65
6
0
02 May 2023
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
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
Abu Reyan Ahmed
Mithun Ghosh
Kwang-Sung Jun
Stephen Kobourov
53
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
109
27
0
29 Apr 2023
Learning Graph Neural Networks using Exact Compression
Jeroen Bollen
Jasper Steegmans
Jan Van den Bussche
Stijn Vansummeren
GNN
AI4CE
64
4
0
28 Apr 2023
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
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
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
Johannes Schimunek
Philipp Seidl
Lukas Friedrich
Daniel Kuhn
F. Rippmann
Sepp Hochreiter
Günter Klambauer
93
28
0
24 Apr 2023
Previous
1
2
3
...
23
24
25
...
70
71
72
Next