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This repository contains the official implementation of the paper titled "Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural Network", which was presented in the 18th International Conference on Document Analysis and Recognition (ICDAR 2024).
This repository contains code implementations for Graph Neural Networks (GNNs). GNNs are a category of deep learning models tailored for tasks involving graph-structured data. The provided code enables users to explore and apply GNNs for tasks such as node classification, link prediction, and graph classification.