59 citations · 67 across the 4 of their papers we have counts for
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stat.ML2020★ 2 cited
Amortized Probabilistic Detection of Communities in Graphs
Yueqi Wang, Yoonho Lee, Pallab Basu +4
Learning community structures in graphs has broad applications across scientific domains. While graph neural networks (GNNs) have been successful in encoding graph structures, exis…
stat.ML2019★ 6 cited
Neural Clustering Processes
Ari Pakman, Yueqi Wang, Catalin Mitelut +2
Probabilistic clustering models (or equivalently, mixture models) are basic building blocks in countless statistical models and involve latent random variables over discrete spaces…