Publications

Found 32 results
Author Title Type [ Year(Asc)]
Filters: First Letter Of Last Name is H  [Clear All Filters]
2024
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.
2023
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 2023.
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.
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.
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.
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.
2021
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.
2020
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.
2019
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.
2018
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.
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.
2017
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.
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.
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.
2016
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.
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.
2015
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.
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.
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.
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.
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.
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.
2013
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.
2010
He, H., and A. K. Singh, "Query Language and Access Methods for Graph Databases", Managing and Mining Graph Data, pp. 125–160, 2010.
2008
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.
2007
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.
2006
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.
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.
2003
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.
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.