Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding - researchr publication authors

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Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng 0005, Yinglong Xia, Charu C. Aggarwal. Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 1418-1428, ACM, 2019. [doi]

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