3 citations · 13 across the 16 of their papers we have counts for
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stat.ML2022★ 1 cited
Graph sampling for node embedding
Li-Chun Zhang
Node embedding is a central topic in graph representation learning. Computational efficiency and scalability can be challenging to any method that requires full-graph operations. W…
cs.SI2022
Sampling for network function learning
Li-Chun Zhang
Given a valued graph, where both the nodes and the edges of the graph are associated with one or several values, any network function for a given node must be defined in terms of t…
stat.ME2022
Graph spatial sampling
Li-Chun Zhang
We develop lagged Metropolis-Hastings walk for sampling from simple undirected graphs according to given stationary sampling probabilities. We explain how to apply the technique to…