An open-data pipeline constructs heterogeneous graphs from OSM, computes five social impact scores per bridge, applies UMAP+HDBSCAN clustering to find archetypes, and uses domain-tuned LLMs to generate policy interpretations.
Becht et al.Dimensionality reduction for vi- sualizing single-cell data using UMAP
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Heterogeneous Graph Importance Scoring and Clustering with Automated LLM-based Interpretation
An open-data pipeline constructs heterogeneous graphs from OSM, computes five social impact scores per bridge, applies UMAP+HDBSCAN clustering to find archetypes, and uses domain-tuned LLMs to generate policy interpretations.