zixi-liu/Graphical-Neural-Network
CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.
This resource helps machine learning practitioners understand and apply graphical neural networks (GNNs) to real-world problems. It provides hands-on learning materials for building models that can analyze relationships within data, such as identifying fraudulent transactions or recommending products. The output is a trained GNN model capable of making predictions based on interconnected data.
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Use this if you are a data scientist or machine learning engineer looking to implement advanced graph-based machine learning techniques.
Not ideal if you are a business user without a background in machine learning seeking a ready-to-use software solution.
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Last pushed
Dec 10, 2022
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