2022
Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance
ICASSP 2022accepted
In modern relational machine learning it is common to encounter large graphs that arise via interactions or similarities between observations in many domains. Further, in many cases the target entities for analysis are actually signals on such graphs. We propose to compare and organize such datasets…