LightGCN recommender system pytorch-geometric/Jupyter notebook implementation with Python
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Updated
Jun 24, 2024 - Jupyter Notebook
LightGCN recommender system pytorch-geometric/Jupyter notebook implementation with Python
This GitHub repository serves as an online notebook, dedicated to documenting study materials, ingenious ideas, or notes pertaining to Machine Learning, to provide a platform for recording such content at any given moment.
Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook
This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".
The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.
A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.
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