zahta/Graph-Machine-Learning

Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.

GitHub repository with 28 stars and 8 forks.

Language: Jupyter Notebook

Topics: code, deep-graph-library, deep-learning, deep-neural-networks, dgl, graph-algorithms, graph-embedding, graph-machine-learning, graph-neural-networks, machine-learning

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2026-06-05: 28 stars and 8 forks.

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