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» Workshop on Graph Computation Models
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133
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CIE
2007
Springer
15 years 10 months ago
Input-Dependence in Function-Learning
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
Sanjay Jain, Eric Martin, Frank Stephan
ICDE
2009
IEEE
205views Database» more  ICDE 2009»
16 years 6 months ago
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
Keyword queries enjoy widespread usage as they represent an intuitive way of specifying information needs. Recently, answering keyword queries on graph-structured data has emerged ...
Thanh Tran, Haofen Wang, Sebastian Rudolph, Philip...
RECOMB
2004
Springer
16 years 4 months ago
Discovering temporal relations in molecular pathways using protein-protein interactions
The availability of large-scale protein-protein interaction data provides us with many opportunities to study molecular pathways involving proteins. In this paper we propose to mi...
Martin Farach-Colton, Yang Huang, John L. L. Woolf...
187
Voted

Publication
273views
14 years 2 months ago
 Beyond Graphs: A New Synthesis.
Artificial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. I...
Mattiussi, Claudio, Dürr, Peter, Marbach, Daniel ...
SMA
2009
ACM
219views Solid Modeling» more  SMA 2009»
15 years 11 months ago
Log-aesthetic space curve segments
For designing aesthetic surfaces, such as the car bodies, it is very important to use aesthetic curves as characteristic lines. In such curves, the curvature should be monotonical...
Norimasa Yoshida, Ryo Fukuda, Takafumi Saito