Concatenating Top2Vec and Node2Vec embeddings, where the Node2Vec graph encodes Top2Vec's own topic labels, yields compact clusters, but the gain is largely circular.
Exploratory analysis of legal case citation data using node embedding
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Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering
Concatenating Top2Vec and Node2Vec embeddings, where the Node2Vec graph encodes Top2Vec's own topic labels, yields compact clusters, but the gain is largely circular.