NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Published in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Recommended citation: Yu, Wenchao, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, and Wei Wang. "NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks." In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2663-2671. ACM, 2018. https://dl.acm.org/citation.cfm?id=3220024

Download paper here Recommended citation: Yu, Wenchao, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, and Wei Wang. “NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.” In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2663-2671. ACM, 2018.