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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.

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Name		Name	Last commit message	Last commit date
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GDS_Assignment_1.pdf		GDS_Assignment_1.pdf
README.md		README.md
Simple_GNN.py		Simple_GNN.py

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Graph-Neural-Networks

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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.

graph-algorithms neural-networks gnn-model gnn-architectures

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