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Graph Neural Networks

4495 directly classified papers

Papers per year

Papers

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs NIPS 2020
Bandit Samplers for Training Graph Neural Networks NIPS 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations NIPS 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NIPS 2020
Evaluating Attribution for Graph Neural Networks NIPS 2020
Graph Meta Learning via Local Subgraphs NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization NIPS 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning NIPS 2020
Natural Graph Networks NIPS 2020
How hard is to distinguish graphs with graph neural networks? NIPS 2020
Pointer Graph Networks NIPS 2020
Rethinking pooling in graph neural networks NIPS 2020
On the equivalence of molecular graph convolution and molecular wave function with poor basis set NIPS 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks NIPS 2020
Primal-Dual Mesh Convolutional Neural Networks NIPS 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NIPS 2020
A graph similarity for deep learning NIPS 2020
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction CVPR 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction CVPR 2020
Object Relational Graph With Teacher-Recommended Learning for Video Captioning CVPR 2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text CVPR 2020
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions CVPR 2020
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel CVPR 2020