M
Manuel R. Torres
Researcher at University of Illinois at Urbana–Champaign
Publications - 17
Citations - 71
Manuel R. Torres is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Graph (abstract data type) & Twist. The author has an hindex of 3, co-authored 15 publications receiving 46 citations. Previous affiliations of Manuel R. Torres include University of California & University of California, Irvine.
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Proceedings ArticleDOI
2-3 Cuckoo Filters for Faster Triangle Listing and Set Intersection
TL;DR: New dynamic set intersection data structures, which are called 2-3 cuckoo filters and hash tables, are introduced, demonstrating the utility of these structures by using them in improved algorithms for listing triangles and answering set intersection queries in internal or external memory.
Book ChapterDOI
Densest Subgraph: Supermodularity, Iterative Peeling, and Flow
TL;DR: In this paper , the densest supermodular subset problem (DSS) was studied via the lens of supermodularity and a simple flow-based algorithm was proposed to obtain a (1 −∊)-approximation in deterministic Õ(m/∊) time where m is the number of edges.
Book ChapterDOI
Models and Algorithms for Graph Watermarking
David Eppstein,Michael T. Goodrich,Jenny Lam,Nil Mamano,Michael Mitzenmacher,Manuel R. Torres +5 more
TL;DR: This work characterizes the feasibility of graph watermarking in terms of keygen, marking, and identification functions defined over graph families with known distributions, and demonstrates the strength of this approach with exemplary watermarked schemes for two random graph models, the classic Erd\H{o}s-R\'{e}nyi model and a random power-law graph model, both of which are used to model real-world networks.
Posted Content
Models and Algorithms for Graph Watermarking
David Eppstein,Michael T. Goodrich,Jenny Lam,Nil Mamano,Michael Mitzenmacher,Manuel R. Torres +5 more
TL;DR: In this article, the feasibility of graph watermarking is investigated in terms of keygen, marking, and identification functions defined over graph families with known distributions. And the authors demonstrate the strength of this approach with exemplary water-marking schemes for two random graph models, the classic Erdős-Renyi model and a random power-law graph model, both of which are used to model real-world networks.
Posted Content
Fast Approximation Algorithms for Bounded Degree and Crossing Spanning Tree Problems
TL;DR: A fast near-linear time implementation of swap-rounding in the spanning tree polytope of a graph and a fractional solution that can be used to sparsify the input graph and lead to significantly faster approximation algorithms than known before.