This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.

2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"