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Capacity and Bias of Learned Geometric Embeddings for Directed Graphs.
Michael Boratko
Dongxu Zhang
Nicholas Monath
Luke Vilnis
Kenneth L. Clarkson
Andrew McCallum
Published in:
NeurIPS (2021)
Keyphrases
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directed graph
random walk
directed acyclic graph
undirected graph
disjoint paths
maximum flow
graph structure
low dimensional
vector space
geometric structure
strongly connected
graph structures
euclidean space
low variance
high dimensional
manifold learning
graphical models
dimensionality reduction
upper bound