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Graph Neural Networks

4,522 papers

Papers per year

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Papers

Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition WACV 2021
A graph similarity for deep learning NIPS 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NIPS 2020
Primal-Dual Mesh Convolutional Neural Networks NIPS 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks NIPS 2020
On the equivalence of molecular graph convolution and molecular wave function with poor basis set NIPS 2020
Rethinking pooling in graph neural networks NIPS 2020
Pointer Graph Networks NIPS 2020
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering NIPS 2020
How hard is to distinguish graphs with graph neural networks? NIPS 2020
Cross-Scale Internal Graph Neural Network for Image Super-Resolution NIPS 2020
Natural Graph Networks NIPS 2020
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching NIPS 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NIPS 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks NIPS 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization NIPS 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Evaluating Attribution for Graph Neural Networks NIPS 2020
Learning Physical Graph Representations from Visual Scenes NIPS 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NIPS 2020
Generative 3D Part Assembly via Dynamic Graph Learning NIPS 2020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs NIPS 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations NIPS 2020