Publications

Found 25 results
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V
Bhattacharya, A., V. Ljosa, J-Y. Pan, M. R. Verardo, H-J. Yang, C. Faloutsos, and A. K. Singh, "ViVo: Visual Vocabulary Construction for Mining Biomedical Images", Proceedings of the 5th {IEEE} International Conference on Data Mining {(ICDM} 2005), 27-30 November 2005, Houston, Texas, {USA}, pp. 50–57, 2005.
T
Ye, W., Z. Wang, R. Redberg, and A. K. Singh, "Tree++: Truncated Tree Based Graph Kernels", IEEE Trans. Knowl. Data Eng., vol. 33, pp. 1778–1789, 2021.
Zong, B., Y. Wu, J. Song, A. K. Singh, H. \ cCam, J. Han, and X. Yan, "Towards scalable critical alert mining", The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27, 2014, pp. 1057–1066, 2014.
S
Dang, X. Hong, H. You, A. K. Singh, and S. Grafton, "Subnetwork Mining with Spatial and Temporal Smoothness", SIAM international conference on data mining (SDM), 2017.
Wu, J., Z. Guan, Q. Zhang, A. K. Singh, and X. Yan, "Static and Dynamic Structural Correlations in Graphs", {IEEE} Trans. Knowl. Data Eng., vol. 25, no. 9, pp. 2147–2160, 2013.
P
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023: ACM, 2023.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023: ACM, 2023.
M
Ye, W., F. Bullo, N. E. Friedkin, and A. K. Singh, "Modeling Human-AI Team Decision Making", CoRR, vol. abs/2201.02759, 2022.
L
Sharma, S., Y. Xian, N. Yu, and A. Singh, "Learning Prototype Classifiers for Long-Tailed Recognition", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China: ijcai.org, 2023.
Dang, X. Hong, H. You, P. Bogdanov, and A. K. Singh, "Learning Predictive Substructures with Regularization for Network Data", Data Mining (ICDM), 2015 IEEE International Conference on: IEEE, 2015.
Ye, W., O. Askarisichani, A. T. Jones, and A. K. Singh, "Learning Deep Graph Representations via Convolutional Neural Networks", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 2268–2279, 2022.
I
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", 12th {IEEE} International Conference on Data Mining, {ICDM} 2012, Brussels, Belgium, December 10-13, 2012, pp. 1218–1223, 2012.
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", CoRR, vol. abs/1210.3587, 2012.
Ye, W., D. Mautz, C. Böhm, A. K. Singh, and C. Plant, "Incorporating User's Preference into Attributed Graph Clustering", IEEE Trans. Knowl. Data Eng., vol. 33, pp. 3716–3728, 2021.
Ye, W., J. Yang, S. Medya, and A. K. Singh, "Incorporating Heterophily into Graph Neural Networks for Graph Classification", CoRR, vol. abs/2203.07678, 2022.
Ye, W., J. Yang, S. Medya, and A. K. Singh, "Incorporating Heterophily into Graph Neural Networks for Graph Classification", CoRR, vol. abs/2203.07678, 2022.
Macropol, K., P. Bogdanov, A. K. Singh, L. R. Petzold, and X. Yan, "I act, therefore I judge: network sentiment dynamics based on user activity change", Advances in Social Networks Analysis and Mining 2013, {ASONAM} '13, Niagara, ON, Canada - August 25 - 29, 2013, pp. 396–402, 2013.
G
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.
Hoang, M. X., X-H. Dang, X. Wu, Z. Yan, and A. K. Singh, "GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks", Proceedings of the 26th International Conference on World Wide Web, 2017.
E
Mongiov\`ı, M., A. K. Singh, X. Yan, B. Zong, and K. Psounis, "Efficient multicasting for delay tolerant networks using graph indexing", Proceedings of the {IEEE} {INFOCOM} 2012, Orlando, FL, USA, March 25-30, 2012, pp. 1386–1394, 2012.
D
Dang, X. Hong, A. K. Singh, P. Bogdanov, H. You, and B. Hsu, "Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data", Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {I}, pp. 290–306, 2014.
You, H., F. Kocayusufoglu, and A. Singh, "DANR: Discrepancy-aware Network Regularization", SIAM International Conference on Data Mining (SDM), 2020.
C
Zong, B., R. Raghavendra, M. Srivatsa, X. Yan, A. K. Singh, and K-W. Lee, "Cloud service placement via subgraph matching", {IEEE} 30th International Conference on Data Engineering, Chicago, {ICDE} 2014, IL, USA, March 31 - April 4, 2014, pp. 832–843, 2014.
B
Zong, B., X. Xiao, Z. Li, Z. Wu, Z. Qian, X. Yan, A. K. Singh, and G. Jiang, "Behavior Query Discovery in System-Generated Temporal Graphs", {PVLDB}, vol. 9, pp. 240–251, 2015.
A
Guan, Z., J. Wu, Q. Zhang, A. K. Singh, and X. Yan, "Assessing and ranking structural correlations in graphs", Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data, {SIGMOD} 2011, Athens, Greece, June 12-16, 2011, pp. 937–948, 2011.