| Data mining: concepts and techniques J Han, J Pei, H Tong Morgan kaufmann, 2022 | 61199 | 2022 |
| Graph based anomaly detection and description: a survey L Akoglu, H Tong, D Koutra Data mining and knowledge discovery 29, 626-688, 2015 | 1732 | 2015 |
| Fast random walk with restart and its applications H Tong, C Faloutsos, JY Pan IEEE ICDM, 2006 | 1434 | 2006 |
| Graph convolutional networks: a comprehensive review S Zhang, H Tong, J Xu, R Maciejewski Computational Social Networks 6 (1), 1-23, 2019 | 1336 | 2019 |
| Activity recognition with smartphone sensors X Su, H Tong, P Ji Tsinghua science and technology 19 (3), 235-249, 2014 | 588 | 2014 |
| Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 566 | 2012 |
| Manifold-ranking based image retrieval J He, M Li, HJ Zhang, H Tong, C Zhang Proceedings of the 12th annual ACM international conference on Multimedia, 9-16, 2004 | 565 | 2004 |
| Blur detection for digital images using wavelet transform H Tong, M Li, H Zhang, C Zhang 2004 IEEE international conference on multimedia and expo (ICME)(IEEE Cat …, 2004 | 438 | 2004 |
| Random walk with restart: fast solutions and applications H Tong, C Faloutsos, JY Pan Knowledge and Information Systems 14, 327-346, 2008 | 419 | 2008 |
| Center-piece subgraphs: problem definition and fast solutions H Tong, C Faloutsos Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 358 | 2006 |
| Fast best-effort pattern matching in large attributed graphs H Tong, C Faloutsos, B Gallagher, T Eliassi-Rad Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 345 | 2007 |
| Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012 | 301 | 2012 |
| It's who you know: graph mining using recursive structural features K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 287 | 2011 |
| Final: Fast attributed network alignment S Zhang, H Tong Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 283 | 2016 |
| Data augmentation for deep graph learning: A survey K Ding, Z Xu, H Tong, H Liu ACM SIGKDD Explorations Newsletter 24 (2), 61-77, 2022 | 209 | 2022 |
| Using ghost edges for classification in sparsely labeled networks B Gallagher, H Tong, T Eliassi-Rad, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 209 | 2008 |
| Centralities in large networks: Algorithms and observations U Kang, S Papadimitriou, J Sun, H Tong Proceedings of the 2011 SIAM international conference on data mining, 119-130, 2011 | 201 | 2011 |
| Virus propagation on time-varying networks: Theory and immunization algorithms BA Prakash, H Tong, N Valler, M Faloutsos, C Faloutsos Joint European conference on machine learning and knowledge discovery in …, 2010 | 200 | 2010 |
| Big-align: Fast bipartite graph alignment D Koutra, H Tong, D Lubensky 2013 IEEE 13th international conference on data mining, 389-398, 2013 | 194 | 2013 |
| On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE international conference on data mining, 1091-1096, 2010 | 188 | 2010 |
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
