Computing exact minimum cuts without knowing the graph
We give query-efficient algorithms for the global min-cut and the st cut problem in
unweighted, undirected graphs. Our oracle model is inspired by the submodular function …
unweighted, undirected graphs. Our oracle model is inspired by the submodular function …
[HTML][HTML] Reconstructing markov processes from independent and anonymous experiments
S Micali, ZA Zhu - Discrete Applied Mathematics, 2016 - Elsevier
We investigate the problem of exactly reconstructing, with high confidence and up to
isomorphism, the ball of radius r centered at the starting state of a Markov process from …
isomorphism, the ball of radius r centered at the starting state of a Markov process from …
On the structure of unique shortest paths in graphs
G Bodwin - Proceedings of the Thirtieth Annual ACM-SIAM …, 2019 - SIAM
This paper develops a structural theory of unique shortest paths in real-weighted graphs.
Our main goal is to characterize exactly which sets of node sequences, which we call path …
Our main goal is to characterize exactly which sets of node sequences, which we call path …
Graph reconstruction and verification
How efficiently can we find an unknown graph using distance or shortest path queries
between its vertices? We assume that the unknown graph G is connected, unweighted, and …
between its vertices? We assume that the unknown graph G is connected, unweighted, and …
Optimal distance query reconstruction for graphs without long induced cycles
Let $ G=(V, E) $ be an $ n $-vertex connected graph of maximum degree $\Delta $. Given
access to $ V $ and an oracle that given two vertices $ u, v\in V $, returns the shortest path …
access to $ V $ and an oracle that given two vertices $ u, v\in V $, returns the shortest path …
Graph reconstruction with a betweenness oracle
Graph reconstruction algorithms seek to learn a hidden graph by repeatedly querying a
blackbox oracle for information about the graph structure. Perhaps the most well studied and …
blackbox oracle for information about the graph structure. Perhaps the most well studied and …
Tight query complexity bounds for learning graph partitions
X Liu, S Mukherjee - Conference on Learning Theory, 2022 - proceedings.mlr.press
Given a partition of a graph into connected components, the membership oracle asserts
whether any two vertices of the graph lie in the same component or not. We prove that for …
whether any two vertices of the graph lie in the same component or not. We prove that for …
Learning Hypertrees From Shortest Path Queries
We consider the problem of learning a labeled hypergraph from a given family of
hypergraphs, using shortest path (SP) queries. An SP query specifies two vertices and asks …
hypergraphs, using shortest path (SP) queries. An SP query specifies two vertices and asks …
Learning networks from random walk-based node similarities
Digital presence in the world of online social media entails significant privacy risks. In this
work we consider a privacy threat to a social network in which an attacker has access to a …
work we consider a privacy threat to a social network in which an attacker has access to a …
Near-linear query complexity for graph inference
How efficiently can we find an unknown graph using distance or shortest path queries
between its vertices? Let G=(V, E) G=(V, E) be a connected, undirected, and unweighted …
between its vertices? Let G=(V, E) G=(V, E) be a connected, undirected, and unweighted …