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Graph Neural Networks

4,522 papers

Papers per year

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Papers

Guided Similarity Separation for Image Retrieval NIPS 2019
Embedding Symbolic Knowledge into Deep Networks NIPS 2019
Powerset Convolutional Neural Networks NIPS 2019
End to end learning and optimization on graphs NIPS 2019
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations NIPS 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NIPS 2019
Graph Transformer Networks NIPS 2019
Variational Graph Recurrent Neural Networks NIPS 2019
Hyper-Graph-Network Decoders for Block Codes NIPS 2019
Neural Relational Inference with Fast Modular Meta-learning NIPS 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces NIPS 2019
Provably Powerful Graph Networks NIPS 2019
Learning by Abstraction: The Neural State Machine NIPS 2019
Adaptive GNN for Image Analysis and Editing NIPS 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks NIPS 2019
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition NIPS 2019
Efficient Graph Generation with Graph Recurrent Attention Networks NIPS 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks NIPS 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks NIPS 2019
Compiler Auto-Vectorization with Imitation Learning NIPS 2019
Recurrent Kernel Networks NIPS 2019
GNNExplainer: Generating Explanations for Graph Neural Networks NIPS 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning NIPS 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs NIPS 2019