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SIAMCOMP
2011
10 years 8 months ago
A Combinatorial Construction of Almost-Ramanujan Graphs Using the Zig-Zag Product
Reingold, Vadhan and Wigderson [21] introduced the graph zig-zag product. This product combines a large graph and a small graph into one graph, such that the resulting graph inher...
Avraham Ben-Aroya, Amnon Ta-Shma
CIKM
2009
Springer
11 years 5 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng
MLG
2007
Springer
11 years 7 months ago
Support Computation for Mining Frequent Subgraphs in a Single Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
11 years 7 months ago
Subgraph Support in a Single Large Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
11 years 7 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
CSE
2009
IEEE
11 years 8 months ago
Structure of Neighborhoods in a Large Social Network
Abstract—We present here a method for analyzing the neighborhoods of all the vertices in a large graph. We first give an algorithm for characterizing a simple undirected graph t...
Alina Stoica, Christophe Prieur
EDBT
2009
ACM
241views Database» more  EDBT 2009»
11 years 8 months ago
GADDI: distance index based subgraph matching in biological networks
Currently, a huge amount of biological data can be naturally represented by graphs, e.g., protein interaction networks, gene regulatory networks, etc. The need for indexing large ...
Shijie Zhang, Shirong Li, Jiong Yang
ICDE
2009
IEEE
145views Database» more  ICDE 2009»
11 years 8 months ago
Context-Aware Object Connection Discovery in Large Graphs
— Given a large graph and a set of objects, the task of object connection discovery is to find a subgraph that retains the best connection between the objects. Object connection...
James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
12 years 1 months ago
Fast discovery of connection subgraphs
We define a connection subgraph as a small subgraph of a large graph that best captures the relationship between two nodes. The primary motivation for this work is to provide a pa...
Christos Faloutsos, Kevin S. McCurley, Andrew Tomk...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
12 years 1 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
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