research
∙
02/16/2022
Task-Agnostic Graph Explanations
Graph Neural Networks (GNNs) have emerged as powerful tools to encode gr...
share
research
∙
02/16/2022
Self-Supervised Representation Learning via Latent Graph Prediction
Self-supervised learning (SSL) of graph neural networks is emerging as a...
research
∙
07/20/2021
Group Contrastive Self-Supervised Learning on Graphs
We study self-supervised learning on graphs using contrastive methods. A...
research
∙
02/22/2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Deep models trained in supervised mode have achieved remarkable success ...
research
∙
11/06/2020
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution
Taking electron microscopy (EM) images in high-resolution is time-consum...
research
∙
10/22/2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Self-supervised frameworks that learn denoising models with merely indiv...
research
∙
08/05/2020
