Publications

Found 180 results
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A
Bogdanov, P., and A. K. Singh, "Accurate and scalable nearest neighbors in large networks based on effective importance", 22nd {ACM} International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, pp. 1009–1018, 2013.
cCamoglu, O. \, T. Can, and A. K. Singh, "Accurate and Scalable Techniques for the Complex/Pathway Membership Problem in Protein Networks", Adv. Bioinformatics, vol. 2009, pp. 787128:1–787128:9, 2009.
Bulut, A., R. Vitenberg, F. Emekçi, and A. K. Singh, "An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams", Databases, Information Systems, and Peer-to-Peer Computing, First International Workshop, DBISP2P, Berlin Germany, September 7-8, 2003, Revised Papers, pp. 123–137, 2003.
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 2023.
Can, T., O. \ cCamoglu, and A. K. Singh, "Analysis of protein-protein interaction networks using random walks", Proceedings of the 5th international workshop on Bioinformatics, {BIOKDD} 2005, Chicago, Illinois, USA, August 21, 2005, pp. 61–68, 2005.
Vitenberg, R., D. Zinenko, K. Kvilekval, and A. K. Singh, "Analyzing Performance of Lease-Based Schemes under Failures", 30th {IEEE} Symposium on Reliable Distributed Systems {(SRDS} 2011), Madrid, Spain, October 4-7, 2011, pp. 193–202, 2011.
Ranu, S., and A. K. Singh, "Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions", CoRR, vol. abs/1111.7165, 2011.
Ranu, S., and A. K. Singh, "Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions", {PVLDB}, vol. 5, no. 3, pp. 169–180, 2011.
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.
Ljosa, V., and A. K. Singh, "APLA: Indexing Arbitrary Probability Distributions", Proceedings of the 23rd International Conference on Data Engineering, {ICDE} 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007, pp. 946–955, 2007.
Luong, K-D., and A. Singh, "Application of Transformers in Cheminformatics", Journal of Chemical Information and Modeling, vol. 64, pp. 4392-4409, 05/2024.
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.
Medya, S., A. Silva, and A. Singh, "Approximate Algorithms for Data-driven Influence Limitation", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Medya, S., A. Silva, and A. K. Singh, "Approximate Algorithms for Data-Driven Influence Limitation", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 2641–2652, 2022.
Bogdanov, P., B. Baumer, P. Basu, A. Bar-Noy, and A. K. Singh, "As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs", Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part {I}, pp. 525–540, 2013.
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.
Can, T., O. \ cCamoglu, A. K. Singh, and Y-F. Wang, "Automated Protein Classification Using Consensus Decision", 3rd International {IEEE} Computer Society Computational Systems Bioinformatics Conference, {CSB} 2004, Stanford, CA, USA, August 16-19, 2004, pp. 224–235, 2004.
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Copp, S. M., P. Bogdanov, M. Debord, A. Singh, and E. Gwinn, "Base motif recognition and design of DNA templates for fluorescent silver clusters by machine learning", Advanced Materials, vol. 26, pp. 5839–5845, 2014.
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.
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.
Kvilekval, K., D. Fedorov, B. Obara, A. K. Singh, and B. S. Manjunath, "Bisque: a platform for bioimage analysis and management", Bioinformatics, vol. 26, no. 4, pp. 544–552, 2010.
Kvilekval, K., D. Fedorov, U. Gaur, S. Goff, N. Merchant, B. S. Manjunath, and A. K. Singh, "Bisque: Advances in Bioimage Databases", {IEEE} Data Eng. Bull., vol. 35, no. 3, pp. 56–64, 2012.
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.
Prabhakar, S., D. Agrawal, A. El Abbadi, A. K. Singh, and T. R. Smith, "Browsing and placement of multi-resolution images on parallel disks", Multimedia Syst., vol. 8, no. 6, pp. 459–469, 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.
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.
Silva, A., F. Kocayusufoglu, S. Jafarpour, F. Bullo, A. Swami, and A. K. Singh, "Combining Physics and Machine Learning for Network Flow Estimation", 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021: OpenReview.net, 2021.
Liu, X., S. Duan, Y. Jin, E. Walker, M. Tsao, J. H. Jang, Z. Chen, A. K. Singh, K. Lazar Cantrell, H. I. Ingolfsson, et al., "Computationally Designed Molecules Modulate ALS-Related Amyloidogenic TDP-43307–319 Aggregation", ACS Chemical Neuroscience, vol. 14, pp. 4395–4408, 2023.
Jin, Y., M. A. Downey, A. Singh, S. K. Buratto, and M. T. Bowers, "Computationally designed small molecules disassemble both soluble oligomers and protofibrils of amyloid β-protein responsible for Alzheimer’s disease", ACS Chemical Neuroscience, vol. 14, pp. 2717–2726, 2023.
Macropol, K., and A. K. Singh, "Content-based Modeling and Prediction of Information Dissemination", International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2011, Kaohsiung, Taiwan, 25-27 July 2011, pp. 21–28, 2011.
Nguyen, D-A., T. Abdelzaher, S. Borbash, X-H. Dang, R. Ganti, A. Singh, and M. Srivatsa, "On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective", Military Communications Conference (MILCOM), 2014 IEEE: IEEE, 2014.
Singh, A. K., A. Bhattacharya, and V. Ljosa, "Current Challenges in Bioimage Database Design", Fourth International {IEEE} Computer Society Computational Systems Bioinformatics Conference Workshops {&} Poster Abstracts, {CSB} 2005 Workshops, Stanford, CA, USA, August 8-11, 2005, pp. 375–379, 2005.
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You, H., F. Kocayusufoglu, and A. Singh, "DANR: Discrepancy-aware Network Regularization", SIAM International Conference on Data Mining (SDM), 2020.
cCamoglu, O. \, T. Can, A. K. Singh, and Y-F. Wang, "Decision Tree Based Information Integration for Automated Protein Classification", J. Bioinformatics and Computational Biology, vol. 3, no. 3, pp. 717–742, 2005.
Lin, S., S. Tang, S. T. Grafton, and A. K. Singh, "Deep Representations for Time-varying Brain Datasets", KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022: ACM, 2022.
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.
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.
Lang, C. A., S. S. Ray, M. Liu, A. K. Singh, and G. D. Cuny, "Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking", Bioorganic & medicinal chemistry letters, vol. 25, pp. 2713–2719, 2015.
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.
Meka, A., and A. K. Singh, "DIST: a distributed spatio-temporal index structure for sensor networks", Proceedings of the 2005 {ACM} {CIKM} International Conference on Information and Knowledge Management, Bremen, Germany, October 31 - November 5, 2005, pp. 139–146, 2005.
Amelkin, V., P. Bogdanov, and A. K. Singh, "A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks", IEEE International Conference on Data Engineering (ICDE), San Diego, California, US, IEEE, 04/2017.
Bulut, A., A. K. Singh, and R. Vitenberg, "Distributed Data Streams Indexing using Content-Based Routing Paradigm", 19th International Parallel and Distributed Processing Symposium {(IPDPS} 2005), {CD-ROM} / Abstracts Proceedings, 4-8 April 2005, Denver, CO, {USA}, 2005.
Singh, A. K., B. S. Manjunath, and R. F. Murphy, "A Distributed Database for BioMolecular Images", {SIGMOD} Record, vol. 33, no. 2, pp. 65–71, 2004.
Meka, A., and A. K. Singh, "Distributed Spatial Clustering in Sensor Networks", Advances in Database Technology - {EDBT} 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings, pp. 980–1000, 2006.
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.
Amelkin, V., O. Askarisichani, Y. Ji Kim, T. W. Malone, and A. K. Singh, "Dynamics of Collective Performance in Collaboration Networks", XXXVI International Sunbelt Conference, Newport Beach, California, US, International Network for Social Network Analysis (INSNA), 2016.
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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.
Sarkar, A., V. Singh, P. Ghosh, B. S. Manjunath, and A. K. Singh, "Efficient and Robust Detection of Duplicate Videos in a Large Database", {IEEE} Trans. Circuits Syst. Video Techn., vol. 20, no. 6, pp. 870–885, 2010.
Singh, V., A. Bhattacharya, and A. K. Singh, "Efficient Computation of Statistical Significance of Query Results in Databases", Scientific and Statistical Database Management, 20th International Conference, {SSDBM} 2008, Hong Kong, China, July 9-11, 2008, Proceedings, pp. 509–516, 2008.
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.
Larusso, N. D., and A. K. Singh, "Efficient tracking and querying for coordinated uncertain mobile objects", 29th {IEEE} International Conference on Data Engineering, {ICDE} 2013, Brisbane, Australia, April 8-12, 2013, pp. 182–193, 2013.
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.
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.
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Kahveci, T., and A. K. Singh, "Fast alignment of large genome databases", Proceedings of the 19th International Conference on Data Engineering, March 5-8, 2003, Bangalore, India, pp. 768–770, 2003.
Lang, C. A., and A. K. Singh, "Faster Similarity Search for Multimedia Data Via Query Transformations", Int. J. Image Graphics, vol. 3, no. 1, pp. 3–30, 2003.
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.
Kar, D., M. Kosan, S. Medya, D. Mandal, A. Silva, P. Dey, and S. Sanyal, "Feature-based Individual Fairness in k-Clustering", International Conference on Autonomous Agents and Multiagent Systems (AAMAS Extended Abstract), 2023.
Singh, V., A. Bhattacharya, and A. K. Singh, "Finding Significant Subregions in Large Image Databases", CoRR, vol. abs/0906.3585, 2009.
Bhattacharya, A., A. Bhowmick, and A. K. Singh, "Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology", Scientific and Statistical Database Management, 22nd International Conference, {SSDBM} 2010, Heidelberg, Germany, June 30 - July 2, 2010. Proceedings, pp. 214–232, 2010.
Bhattacharya, A., A. Bhowmick, and A. K. Singh, "Finding top-k similar pairs of objects annotated with terms from an ontology", CoRR, vol. abs/1001.2625, 2010.
Kocayusufoglu, F., A. Silva, and A. K. Singh, "FlowGEN: A Generative Model for Flow Graphs", KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022: ACM, 2022.
Luong, K-D., and A. Singh, "Fragment-based Pretraining and Finetuning on Molecular Graphs", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
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Medya, S., T. Ma, A. Silva, and A. K. Singh, "A Game Theoretic Approach For Core Resilience", IJCAI, 2020.
Medya, S., T. Ma, A. Silva, and A. Singh, "A Game Theoretic Approach For k-Core Minimization ", AAMAS, 2020.
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.
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.
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.
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.
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.
Wang, D., A. Antoniades, K-D. Luong, E. Zhang, M. Kosan, J. Li, A. Singh, W. Yang Wang, and L. Li, "Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning", Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York, NY, USA, Association for Computing Machinery, 2024.
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.
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., 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.
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.
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.
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.
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.
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.
Silva, A., and A. Singh, "Group Testing on a Network", AAAI Conference on Artificial Intelligence, 2021.
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Zong, B., C. Gkantsidis, and M. Vojnovic, "Herding "small" streaming queries", Proceedings of the 9th {ACM} International Conference on Distributed Event-Based Systems, {DEBS} '15, Oslo, Norway, June 29 - July 3, 2015, 2015.
Silva, A., P. Bogdanov, and A. K. Singh, "Hierarchical in-network attribute compression via importance sampling", 31st {IEEE} International Conference on Data Engineering, {ICDE} 2015, Seoul, South Korea, April 13-17, 2015, pp. 951–962, 2015.
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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.
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., 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.
Vitenberg, R., K. Kvilekval, and A. K. Singh, "Increasing Concurrency in Databases Using Program Analysis", {ECOOP} 2004 - Object-Oriented Programming, 18th European Conference, Oslo, Norway, June 14-18, 2004, Proceedings, pp. 341–363, 2004.
cCamoglu, O. \, T. Kahveci, and A. K. Singh, "Index-based Similarity Search for Protein Structure Databases", J. Bioinformatics and Computational Biology, vol. 2, no. 1, pp. 99–126, 2004.
Ranu, S., and A. K. Singh, "Indexing and mining topological patterns for drug discovery", 15th International Conference on Extending Database Technology, {EDBT} '12, Berlin, Germany, March 27-30, 2012, Proceedings, pp. 562–565, 2012.
Bulut, A., and A. K. Singh, "Indexing and Querying Data Streams", Data Streams - Models and Algorithms, pp. 237–259, 2007.
Ljosa, V., A. Bhattacharya, and A. K. Singh, "Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds", Advances in Database Technology - {EDBT} 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings, pp. 865–883, 2006.
Ruttenberg, B. E., and A. K. Singh, "Indexing the Earth Mover's Distance Using Normal Distributions", {PVLDB}, vol. 5, no. 3, pp. 205–216, 2011.
Ruttenberg, B. E., and A. K. Singh, "Indexing the Earth Mover's Distance Using Normal Distributions", CoRR, vol. abs/1111.7168, 2011.
Seccamonte, F., A. K. Singh, and F. Bullo, "Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks", IEEE Conference on Control Technology and Applications, CCTA 2023, Bridgetown, Barbados, August 16-18, 2023: IEEE, 2023.
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.
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", CoRR, vol. abs/1210.3587, 2012.
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.
Downey, M. A., M. J. Giammona, C. A. Lang, S. K. Buratto, A. Singh, and M. T. Bowers, "Inhibiting and remodeling toxic amyloid-beta oligomer formation using a computationally designed drug molecule that targets Alzheimer’s disease", Journal of The American Society for Mass Spectrometry, vol. 30, pp. 85–93, 2018.
cCamoglu, O. \, T. Can, and A. K. Singh, "Integrating multi-attribute similarity networks for robust representation of the protein space", Bioinformatics, vol. 22, no. 13, pp. 1585–1592, 2006.
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Kahveci, T., C. A. Lang, and A. K. Singh, "Joining Massive High-Dimensional Datasets", Proceedings of the 19th International Conference on Data Engineering, March 5-8, 2003, Bangalore, India, pp. 265–276, 2003.
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Larusso, N. D., B. E. Ruttenberg, and A. K. Singh, "A Latent Parameter Node-Centric Model for Spatial Networks", CoRR, vol. abs/1210.4246, 2012.

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