Publications

Found 17 results
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B
Bhattacharya, A., S. Levy, A. LeBoeuf, M. Gaylord, L. Wilson, A. K. Singh, and S. C. Feinstein, "A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics", {BMC} Bioinformatics, vol. 9, 2008.
H
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.
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.
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.
K
Kahveci, T., and A. K. Singh, "Genome on Demand: Interactive Substring Searching", 2nd {IEEE} Computer Society Bioinformatics Conference, {CSB} 2003, Stanford, CA, USA, August 11-14, 2003, pp. 551–552, 2003.
Kosan, M., S. Verma, B. Armgaan, K. Pahwa, A. Singh, S. Medya, and S. Ranu, "GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking", The Twelfth International Conference on Learning Representations (ICLR), 2024.
Kosan, M., A. Silva, S. Medya, B. Uzzi, and A. Singh, "Graph Macro Dynamics with Self-Attention for Event Detection", Deep Learning on Graphs: Methods and Applications (DLG-AAAI), 02/2023.
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.
M
Manchanda, S., A. Mittal, A. Dhawan, S. Medya, S. Ranu, and A. Singh, "GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.
Medya, S., T. Ma, A. Silva, and A. Singh, "A Game Theoretic Approach For k-Core Minimization ", AAMAS, 2020.
Medya, S., A. Silva, A. Singh, P. Basu, and A. Swami, "Group centrality maximization via network design", SIAM International Conference on Data Mining (SDM), 2018.
Medya, S., T. Ma, A. Silva, and A. K. Singh, "A Game Theoretic Approach For Core Resilience", IJCAI, 2020.
R
Ranu, S., and A. K. Singh, "GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases", Proceedings of the 25th International Conference on Data Engineering, {ICDE} 2009, March 29 2009 - April 2 2009, Shanghai, China, pp. 844–855, 2009.
S
Silva, A., and A. Singh, "Group Testing on a Network", AAAI Conference on Artificial Intelligence, 2021.
Silva, A., X. Hong Dang, P. Basu, A. Singh, and A. Swami, "Graph Wavelets via Sparse Cuts", Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016.
Singh, V., S. Venkatesha, and A. K. Singh, "Geo-clustering of Images with Missing GeoTags", 2010 {IEEE} International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010, pp. 420–425, 2010.
Y
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.