kshitijbhandari/Unsupervised-Clustering-of-Actor-Movie-Bipartite-Graphs-Using-Random-Walk-Embeddings
Grouped 3,411 actors into 3 communities and 1,292 movies into 50 clusters using heterogeneous random walks and Word2Vec embeddings on a bipartite actor-movie network. Designed custom graph-aware metrics for optimal cluster selection and visualized results with t-SNE.
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Mar 22, 2026
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