Dr Andrey Kan
Lecturer
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences
I'm interested in developing machine learning methods for graph based heterogeneous datasets. A heterogeneous dataset is a collection of objects of different types (e.g., video and text) along with a set of relations between the objects. For example, such dataset can originate from a video hosting service, that record interactions between users, videos, comments to videos and channel subscriptions.
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Journals
Year Citation 2018 Pham, K., Kan, A., Whitehead, L., Hennessy, R. J., Rogers, K., & Hodgkin, P. D. (2018). Converse Smith-Martin cell cycle kinetics by transformed B lymphocytes. Cell Cycle, 17(16), 2041-2051.
Scopus1 Europe PMC1 -
Conference Papers
Year Citation 2020 Park, N., Kan, A., Dong, X. L., Zhao, T., & Faloutsos, C. (2020). MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 503-512).
2020 Mao, Y., Zhao, T., Kan, A., Zhang, C., Dong, X. L., Faloutsos, C., & Han, J. (2020). Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2247-2257).
Scopus12020 Dong, X. L., He, X., Kan, A., Li, X., Liang, Y., Ma, J., . . . Han, J. (2020). AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2724-2734).
2019 Park, N., Kan, A., Dong, X. L., Zhao, T., & Faloutsos, C. (2019). Estimating node importance in knowledge graphs using graph neural networks. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 596-606).
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