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» On Generating Random Network Structures: Connected Graphs
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PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 10 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
120
Voted
PVLDB
2010
200views more  PVLDB 2010»
14 years 11 months ago
SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs
With the emergence of new applications, e.g., computational biology, new software engineering techniques, social networks, etc., more data is in the form of graphs. Locating occur...
Shijie Zhang, Jiong Yang, Wei Jin
120
Voted
IM
2007
15 years 12 days ago
Growing Protean Graphs
Abstract. The web may be viewed as a graph each of whose vertices corresponds to a static HTML web page, and each of whose edges corresponds to a hyperlink from one web page to ano...
Pawel Pralat, Nicholas C. Wormald
ECOOP
2006
Springer
15 years 4 months ago
The Runtime Structure of Object Ownership
Object-oriented programs often require large heaps to run properly or meet performance goals. They use high-overhead collections, bulky data models, and large caches. Discovering t...
Nick Mitchell
87
Voted
SIGMETRICS
2005
ACM
15 years 6 months ago
On lifetime-based node failure and stochastic resilience of decentralized peer-to-peer networks
—To model P2P networks that are commonly faced with high rates of churn and random departure decisions by end-users, this paper investigates the resilience of random graphs to li...
Derek Leonard, Vivek Rai, Dmitri Loguinov