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Awesome GitHub RepositoriesUnsupervised Node Embeddings
Generation of node feature vectors without the use of ground-truth labels.
Distinct from Embedding Generation: Distinct from Embedding Generation: specifically focuses on the unsupervised nature of graph node embedding training.
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Awesome Unsupervised Node Embeddings GitHub Repositories
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- williamleif/graphsage
williamleif/GraphSAGE
3,657Vezi pe GitHubGraphSAGE is a graph neural network framework designed for inductive representation learning on large-scale graphs. It functions as an inductive graph embedding tool and neighborhood aggregation engine, enabling the generation of numerical node representations that generalize to previously unseen data. The system distinguishes itself by computing node embeddings through the aggregation of features from local neighborhoods rather than relying on a global lookup table. This approach allows the framework to operate as both a supervised graph classifier for predicting categorical node classes and
Generates numerical feature vectors for graph nodes without requiring labels.
Python
