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INFOCOM
2012
IEEE
13 years 8 months ago
Low-stretch greedy embedding heuristics
—Greedy embedding is a graph embedding that makes the simple greedy packet forwarding scheme successful for every source-destination pair. It is desirable that graph embeddings a...
Andrej Cvetkovski, Mark Crovella
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
16 years 6 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...
RSA
2000
112views more  RSA 2000»
15 years 5 months ago
Growth of components in random graphs
The creation and growth of components of a given complexity in a random graph process are studied. In particular, the expected number and total size of all such components is found...
Svante Janson
STOC
2009
ACM
171views Algorithms» more  STOC 2009»
16 years 6 months ago
On the geometry of graphs with a forbidden minor
We study the topological simplification of graphs via random embeddings, leading ultimately to a reduction of the Gupta-Newman-Rabinovich-Sinclair (GNRS) L1 embedding conjecture t...
James R. Lee, Anastasios Sidiropoulos
EDBT
2008
ACM
150views Database» more  EDBT 2008»
16 years 6 months ago
Finding time-dependent shortest paths over large graphs
The spatial and temporal databases have been studied widely and intensively over years. In this paper, we study how to answer queries of finding the best departure time that minim...
Bolin Ding, Jeffrey Xu Yu, Lu Qin