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ICML
2008
IEEE
14 years 9 months ago
Fast incremental proximity search in large graphs
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
Purnamrita Sarkar, Andrew W. Moore, Amit Prakash
TSE
2008
113views more  TSE 2008»
13 years 8 months ago
Discovering Neglected Conditions in Software by Mining Dependence Graphs
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
Ray-Yaung Chang, Andy Podgurski, Jiong Yang
WWW
2010
ACM
13 years 9 months ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
VLDB
2002
ACM
106views Database» more  VLDB 2002»
13 years 8 months ago
Structure and Value Synopses for XML Data Graphs
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
Neoklis Polyzotis, Minos N. Garofalakis
TSE
2010
151views more  TSE 2010»
13 years 7 months ago
The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
George K. Baah, Andy Podgurski, Mary Jean Harrold