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» Learning to Explain Entity Relationships in Knowledge Graphs
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SIGIR
2009
ACM
15 years 5 months ago
Link analysis for private weighted graphs
Link analysis methods have been used successfully for knowledge discovery from the link structure of mutually linking entities. Existing link analysis methods have been inherently...
Jun Sakuma, Shigenobu Kobayashi
HICSS
2003
IEEE
112views Biometrics» more  HICSS 2003»
15 years 4 months ago
Learning Through Telemedicine Networks
Telemedicine is advocated for its potential to improve the accessibility and quality of health care delivery while lowering costs [1]. Although the potential benefits of telemedic...
Liqiong Deng, Marshall Scott Poole
CIKM
2011
Springer
13 years 11 months ago
Keyword search over RDF graphs
Large knowledge bases consisting of entities and relationships between them have become vital sources of information for many applications. Most of these knowledge bases adopt the...
Shady Elbassuoni, Roi Blanco
CIBCB
2008
IEEE
15 years 5 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
CORR
2008
Springer
143views Education» more  CORR 2008»
14 years 11 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...