research
∙
05/24/2023
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
Recent advances of incorporating layout information, typically bounding ...
share
research
∙
11/12/2021
Implicit vs Unfolded Graph Neural Networks
It has been observed that graph neural networks (GNN) sometimes struggle...
research
∙
10/26/2021
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features
For supervised learning with tabular data, decision tree ensembles produ...
research
∙
03/24/2021
Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks
Much of the recent progress made in node classification on graphs can be...
research
∙
03/10/2021
