Neural Message Passing for Quantum Chemistry

4 April 2017

Justin Gilmer

Papers citing "Neural Message Passing for Quantum Chemistry"

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Title
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 29 447 0 27 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 29 26 0 27 May 2019
Learning by stochastic serializations Pablo Strasser S. Armand Stéphane Marchand-Maillet Alexandros Kalousis 21 0 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 25 568 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 22 96 0 27 May 2019
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification Kenta Oono Taiji Suzuki GNN 32 27 0 27 May 2019
Sequential Graph Dependency Parser Sean Welleck Kyunghyun Cho 20 0 0 27 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding Doyup Lee Suehun Jung Yeongjae Cheon Dongil Kim Seungil You AI4TS 20 6 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 22 256 0 25 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato M. Yamada H. Kashima GNN 33 127 0 24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving Aditya Sanjay Paliwal Sarah M. Loos M. Rabe Kshitij Bansal Christian Szegedy AI4CE NoLa 28 97 0 24 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 33 420 0 23 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 30 158 0 21 May 2019
Factorised Neural Relational Inference for Multi-Interaction Systems Ezra Webb Ben Day Helena Andrés-Terré Pietro Lio AI4CE GNN 30 30 0 21 May 2019
Generating Logical Forms from Graph Representations of Text and Entities Peter Shaw Philip Massey Angelica Chen Francesco Piccinno Yasemin Altun GNN AI4CE NAI 35 38 0 21 May 2019
Representation Learning on Visual-Symbolic Graphs for Video Understanding E. Mavroudi Benjamín Béjar Haro René Vidal 27 8 0 17 May 2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs Ming Tu Guangtao Wang Jing-ling Huang Yun Tang Xiaodong He Bowen Zhou 28 149 0 17 May 2019
Inferring Javascript types using Graph Neural Networks Jessica Schrouff Kai Wohlfahrt Bruno Marnette Liam Atkinson NAI GNN 27 7 0 16 May 2019
ncRNA Classification with Graph Convolutional Networks Emanuele Rossi Federico Monti M. Bronstein Pietro Lio MedIm GNN 14 27 0 16 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 31 3 0 15 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
Graph Attribute Aggregation Network with Progressive Margin Folding Penghui Sun J. Qu Xiaoqing Lyu Haibin Ling Zhi Tang GNN 14 3 0 14 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lio GNN 20 19 0 12 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 19 88 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 39 1,066 0 11 May 2019
Language-Conditioned Graph Networks for Relational Reasoning Ronghang Hu Anna Rohrbach Trevor Darrell Kate Saenko 31 171 0 10 May 2019
Time-Series Event Prediction with Evolutionary State Graph Wenjie Hu Yang Yang Zilong You Zongtao Liu Xiang Ren AI4TS 17 1 0 10 May 2019
Adversarial Defense Framework for Graph Neural Network Shen Wang Zhengzhang Chen Jingchao Ni Xiao Yu Zhichun Li Haifeng Chen Philip S. Yu AAML GNN 25 28 0 09 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 26 163 0 08 May 2019
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs Aditya Sanjay Paliwal Felix Gimeno Vinod Nair Yujia Li Miles Lubin Pushmeet Kohli Oriol Vinyals OffRL GNN 22 65 0 07 May 2019
Are Graph Neural Networks Miscalibrated? Leonardo Teixeira B. Jalaeian Bruno Ribeiro AI4CE 16 22 0 07 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 24 146 0 06 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 30 454 0 04 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 32 154 0 03 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention Andreea Deac Yu-Hsiang Huang Petar Velickovic Pietro Lio Jian Tang 22 77 0 02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 36 884 0 30 Apr 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Kyunghyun Cho Joan Bruna 16 26 0 29 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 66 517 0 29 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 26 80 0 29 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 33 120 0 27 Apr 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 30 248 0 26 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 34 198 0 24 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 24 24 0 24 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 21 477 0 22 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 16 57 0 21 Apr 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 27 74 0 18 Apr 2019
Decoding Molecular Graph Embeddings with Reinforcement Learning S. Kearnes Li Li Patrick F. Riley OffRL GNN 14 27 0 18 Apr 2019
DScribe: Library of Descriptors for Machine Learning in Materials Science Lauri Himanen M. Jäger Eiaki V. Morooka F. F. Canova Y. S. Ranawat D. Gao Patrick Rinke A. Foster 11 571 0 18 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs Guillaume Jaume An-phi Nguyen María Rodríguez Martínez Jean-Philippe Thiran M. Gabrani 32 22 0 18 Apr 2019