48 citations · 91 across the 3 of their papers we have counts for
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cs.LG2020★ 48 cited
HNHN: Hypergraph Networks with Hyperedge Neurons
Yihe Dong, Will Sawin, Yoshua Bengio
Hypergraphs provide a natural representation for many real world datasets. We propose a novel framework, HNHN, for hypergraph representation learning. HNHN is a hypergraph convolut…
cs.LG2020
COPT: Coordinated Optimal Transport for Graph Sketching
Yihe Dong, Will Sawin
We introduce COPT, a novel distance metric between graphs defined via an optimization routine, computing a coordinated pair of optimal transport maps simultaneously. This gives an…
cs.LG2019
Learning Space Partitions for Nearest Neighbor Search
Yihe Dong, Piotr Indyk, Ilya Razenshteyn +1
Space partitions of underlie a vast and important class of fast nearest neighbor search (NNS) algorithms. Inspired by recent theoretical work on NNS for general metr…