Clustering Massive-Categories and Complex Documents via Graph Convolutional Network-Reference-Cited by-同舟云学术

Clustering Massive-Categories and Complex Documents via Graph Convolutional Network

Published:2021 Issue: Volume: Page:27-39
ISSN:0302-9743
Container-title:Knowledge Science, Engineering and Management
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Author:

Zhao Qingchao,Yang Jing,Wang Zhengkui,Chu Yan,Shan Wen,Tuhin Isfaque Al Kaderi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-82136-4_3

Reference21 articles.

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2. Ali, I., Melton, A.: Semantic-based text document clustering using cognitive semantic learning and graph theory. In: ICSC, pp. 243–247. IEEE (2018)

3. Amigó, E., Gonzalo, J., Artiles, J., Verdejo, F.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. Inf. Retrieval 12(4), 461–486 (2009)

4. Berkhin, P.: A survey of clustering data mining techniques. In: Grouping Multidimensional Data, pp. 25–71. Springer, Berlin (2006). https://doi.org/10.1007/3-540-28349-8_2

5. Bohm, C., Railing, K., Kriegel, H.P., Kroger, P.: Density connected clustering with local subspace preferences. In: ICDM 2004, pp. 27–34. IEEE (2004)

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