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When do GNNs work: Understanding and improving neighborhood aggregation
Xie, Y., Li, S., Yang, C., Wong, R. C. W. & Han, J., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 1303-1309 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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When will it happen? - Relationship prediction in heterogeneous information networks
Sun, Y., Han, J., Aggarwal, C. C. & Chawla, N. V., Mar 15 2012, WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining. p. 663-672 10 p. (WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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WINACS: Construction and analysis of web-based computer science information networks
Weninger, T., Danilevsky, M., Fumarola, F., Hailpern, J., Han, J., Johnston, T. J., Kallumadi, S., Kim, H., Li, Z., McCloskey, D., Sun, Y., TeGrotenhuis, N. E., Wang, C. & Yu, X., Jul 11 2011, Proceedings of SIGMOD 2011 and PODS 2011. p. 1255-1257 3 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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World knowledge as indirect supervision for document clustering
Wang, C., Song, Y., Roth, D., Zhang, M. & Han, J., Dec 2016, In: ACM Transactions on Knowledge Discovery from Data. 11, 2, 13.Research output: Contribution to journal › Article › peer-review