Label-Dependent Feature Extraction in Social Networks for Node Classification-Reference-Cited by-同舟云学术

Label-Dependent Feature Extraction in Social Networks for Node Classification

Published:2010 Issue: Volume: Page:89-102
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Kajdanowicz Tomasz,Kazienko Przemysław,Doskocz Piotr

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-16567-2_7

Reference18 articles.

1. Lecture Notes in Computer Science;C. Desrosiers,2009

2. Friedman, N., Getoor, L., Koller, D., Pfeffer, A.: Learning probabilistic relational models. In: Proceedings of the International Joint Conference on Artificial Intelligence IJCAI 1999, pp. 1300–1309 (1999)

3. Fruchterman, T., Reingold, E.: Graph Drawing by Force-directed Placement. Software - Practice and Experience 21, 1129–1164 (1991)

4. Gallagher, B., Eliassi-Rad, T.: Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study. In: Proceedings of the Second ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD 2008), Las Vegas, NV (2008)

5. Gallagher, B., Tong, H., Eliassi-Rad, T., Faloutsos, C.: Using ghost edges for classification in sparsely labeled networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 256–264 (2008)

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