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1704.01212
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Neural Message Passing for Quantum Chemistry
4 April 2017
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
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Papers citing
"Neural Message Passing for Quantum Chemistry"
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Title
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Graph Convolutional Networks with EigenPooling
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30 Apr 2019
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29 Apr 2019
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Chenjie Gu
T. Dullien
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29 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer
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Graph Kernels: A Survey
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Michalis Vazirgiannis
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27 Apr 2019
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Jiayuan Mao
Tian Lin
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Lihong Li
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D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
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Roman Garnett
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Ming Li
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Jie Chen
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Dustin Zelle
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Graph Element Networks: adaptive, structured computation and memory
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Maria Bauzá
Alberto Rodriguez
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DScribe: Library of Descriptors for Machine Learning in Materials Science
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María Rodríguez Martínez
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Self-Attention Graph Pooling
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Neural Message Passing for Multi-Label Classification
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Recurrent Space-time Graph Neural Networks
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Iulia Duta
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Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
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Semantic Graph Convolutional Networks for 3D Human Pose Regression
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Structured agents for physical construction
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Analyzing Learned Molecular Representations for Property Prediction
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Clique pooling for graph classification
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Uncertainty quantification of molecular property prediction with Bayesian neural networks
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Visual Semantic Information Pursuit: A Survey
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Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
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Interpretable Deep Learning in Drug Discovery
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Fast Graph Representation Learning with PyTorch Geometric
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GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
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Differentiable Scene Graphs
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Gal Chechik
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Jie Chen
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H. Kanezashi
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Star-Transformer
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Xipeng Qiu
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Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
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Learning representations of irregular particle-detector geometry with distance-weighted graph networks
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21 Feb 2019
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