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1511.05493
Cited By
Gated Graph Sequence Neural Networks
17 November 2015
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
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Papers citing
"Gated Graph Sequence Neural Networks"
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Title
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
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Videos as Space-Time Region Graphs
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Relational inductive biases, deep learning, and graph networks
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Jessica B. Hamrick
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V. Zambaldi
...
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Oriol Vinyals
Yujia Li
Razvan Pascanu
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0
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Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
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PINN
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593
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Relational inductive bias for physical construction in humans and machines
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Kelsey R. Allen
V. Bapst
Tina Zhu
Kevin R. McKee
J. Tenenbaum
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109
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Dual-Primal Graph Convolutional Networks
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Oleksandr Shchur
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Or Litany
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Jonathan Masci
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33
41
0
31 May 2018
Fusion Graph Convolutional Networks
Priyesh Vijayan
Yash Chandak
Mitesh M. Khapra
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2
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MolGAN: An implicit generative model for small molecular graphs
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906
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32
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Hyperbolic Attention Networks
Çağlar Gülçehre
Misha Denil
Mateusz Malinowski
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Matt J. Kusner
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José Miguel Hernández-Lobato
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0
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Constrained Graph Variational Autoencoders for Molecule Design
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Miltiadis Allamanis
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Generative Code Modeling with Graphs
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Learning Graph-Level Representations with Recurrent Neural Networks
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Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
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40
0
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Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition
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Constructing Narrative Event Evolutionary Graph for Script Event Prediction
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10
192
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Sentence-State LSTM for Text Representation
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Towards a Spectrum of Graph Convolutional Networks
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Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery
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Extraction of Airways using Graph Neural Networks
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171
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Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data
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Attentional Multilabel Learning over Graphs: A Message Passing Approach
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HOUDINI: Lifelong Learning as Program Synthesis
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Iterative Visual Reasoning Beyond Convolutions
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Graphite: Iterative Generative Modeling of Graphs
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Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
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GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
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Reviving and Improving Recurrent Back-Propagation
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Graph Partition Neural Networks for Semi-Supervised Classification
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PotentialNet for Molecular Property Prediction
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Attention-based Graph Neural Network for Semi-supervised Learning
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Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition
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Junction Tree Variational Autoencoder for Molecular Graph Generation
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