Topic Model for Graph Mining
A topic model for graph mining that uses Bernoulli distributions to model edges between nodes, aiming to discover latent topics in graph-structured data.
- The description claims that the proposed GTM outperforms the latent Dirichlet allocation.
AI Readiness
Good foundation, but some important product data is still missing.
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