SLAM compares two spatial labelings by turning them into weighted graphs, extracting edge-type distributions, and measuring distributional discrepancy with sliced Wasserstein distances and maximum mean discrepancy.
Exploring network structure, dynam- ics, and function using networkx
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Methodological Framework for Measuring Spatial Labeling Similarity
SLAM compares two spatial labelings by turning them into weighted graphs, extracting edge-type distributions, and measuring distributional discrepancy with sliced Wasserstein distances and maximum mean discrepancy.