Publications

Found 32 results
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T
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.
Kang, B., H. Wright, T. Höllerer, A. K. Singh, and J. O’Donovan, "Through the Grapevine: A Comparison of News in Microblogs and Traditional Media", Trends in Social Network Analysis: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment, pp. 135–168, 2017.
S
Kocayusufoglu, F., M. X. Hoang, and A. K. Singh, "Summarizing Network Processes with Network-constrained Boolean Matrix Factorization", IEEE International Conference on Data Mining (ICDM), 2018.
Hoang, M. X., R. Ramanathan, and A. K. Singh, "Structure and evolution of missed collaborations in large networks", 2014 Proceedings {IEEE} {INFOCOM} Workshops, Toronto, ON, Canada, April 27 - May 2, 2014, pp. 849–854, 2014.
Stück, D., H. T. Hallgrímsson, G. Ver Steeg, A. Epasto, and L. Foschini, "The Spread of Physical Activity Through Social Networks", Proceedings of the 26th International Conference on World Wide Web: ACM, 2017.
Hallgrímsson, H. T., M. Cieslak, L. Foschini, S. T. Grafton, and A. K. Singh, "Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity", NeuroImage, 2018.
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He, H., and A. K. Singh, "Query Language and Access Methods for Graph Databases", Managing and Mining Graph Data, pp. 125–160, 2010.
P
Huang, Z., A. Silva, and A. K. Singh, "POLE: Polarized Embedding for Signed Networks", WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022: ACM, 2022.
M
Ranu, S., M. X. Hoang, and A. K. Singh, "Mining discriminative subgraphs from global-state networks", The 19th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} 2013, Chicago, IL, USA, August 11-14, 2013, pp. 509–517, 2013.
I
Hill, S. M., L. M. Heiser, T. Cokelaer, M. Unger, N. K. Nesser, D. E. Carlin, Y. Zhang, A. Sokolov, E. O. Paull, C. K. Wong, et al., "Inferring causal molecular networks: empirical assessment through a community-based effort", Nature methods, vol. 13, pp. 310–318, 2016.
Hill, S. M., L. M. Heiser, T. Cokelaer, M. Unger, N. K. Nesser, D. E. Carlin, Y. Zhang, A. Sokolov, E. O. Paull, C. K. Wong, et al., "Inferring causal molecular networks: empirical assessment through a community-based effort", Nature methods, vol. 13, pp. 310–318, 2016.
Hill, S. M., L. M. Heiser, T. Cokelaer, M. Unger, N. K. Nesser, D. E. Carlin, Y. Zhang, A. Sokolov, E. O. Paull, C. K. Wong, et al., "Inferring causal molecular networks: empirical assessment through a community-based effort", Nature methods, vol. 13, pp. 310–318, 2016.
G
He, H., and A. K. Singh, "Graphs-at-a-time: query language and access methods for graph databases", Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data, {SIGMOD} 2008, Vancouver, BC, Canada, June 10-12, 2008, pp. 405–418, 2008.
He, H., and A. K. Singh, "GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space", Proceedings of the 6th {IEEE} International Conference on Data Mining {(ICDM} 2006), 18-22 December 2006, Hong Kong, China, pp. 885–890, 2006.
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.
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.
Kosan, M., Z. Huang, S. Medya, S. Ranu, and A. Singh, "Global Counterfactual Explainer for Graph Neural Networks", Web Search and Data Mining (WSDM), 02/2023.
F
Hoang, M. X., Y. Zheng, and A. K. Singh, "FCCF: forecasting citywide crowd flows based on big data", Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM, 2016.
E
Askarisichani, O., E. Y. Huang, K. S. Sato, N. E. Friedkin, F. Bullo, and A. K. Singh, "Expertise and confidence explain how social influence evolves along intellective tasks", CoRR, vol. abs/2011.07168, 2020.
Hallgrímsson, H. T., R. Sharan, S. T. Grafton, and A. K. Singh, "Estimating localized complexity of white-matter wiring with GANs", Medical Imaging meets NeurIPS, 2019.
He, H., and A. K. Singh, "Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees", Proceedings of the 7th {IEEE} International Conference on Data Mining {(ICDM} 2007), October 28-31, 2007, Omaha, Nebraska, {USA}, pp. 163–172, 2007.
D
Lencevicius, R., U. Hölzle, and A. K. Singh, "Dynamic Query-Based Debugging of Object-Oriented Programs", Autom. Softw. Eng., vol. 10, no. 1, pp. 39–74, 2003.
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.
Bhowmick, A., M. Kosan, Z. Huang, A. Singh, and S. Medya, "DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization", The 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24), 2024.
Heymans, M., and A. K. Singh, "Deriving phylogenetic trees from the similarity analysis of metabolic pathways", Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29 - July 3, 2003, Brisbane, Australia, pp. 138–146, 2003.
C
He, H., and A. K. Singh, "Closure-Tree: An Index Structure for Graph Queries", Proceedings of the 22nd International Conference on Data Engineering, {ICDE} 2006, 3-8 April 2006, Atlanta, GA, {USA}, pp. 38, 2006.
B
Huang, Z., A. Silva, and A. K. Singh, "A Broader Picture of Random-walk Based Graph Embedding", KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021: ACM, 2021.
Ribeiro, B., M. X. Hoang, and A. K. Singh, "Beyond Models: Forecasting Complex Network Processes Directly from Data", Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015, pp. 885–895, 2015.
A
Ranu, S., M. X. Hoang, and A. K. Singh, "Applications of Top-k Representative Queries", Proceedings of the Sixth Workshop on Semantic Web Information Management, {SWIM} 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 40:1–40:2, 2014.
Ranu, S., M. X. Hoang, and A. K. Singh, "Answering top-k representative queries on graph databases", International Conference on Management of Data, {SIGMOD} 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 1163–1174, 2014.
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 2023.