Publications

2026

  1. NeurIPS
    Concorde: Geometry-Aware Link Prediction via Decoupled Energy Minimization
    Demirci, Ege, and Singh, Ambuj
    Advances in Neural Information Processing Systems (NeurIPS 2026) Dec, 2026
    Abs
  2. ICLR
    FlowSymm: Physics–Aware, Symmetry–Preserving Graph Attention for Network Flow Completion
    Demirci, Ege, Bullo, Francesco, Swami, Ananthram, and Singh, Ambuj
    In The Fourteenth International Conference on Learning Representations Dec, 2026
  3. ICLR
    Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs
    Musaffar, Abed K., Gokhale, Anand, Zeng, Sirui, Tadayon, Rasta, Yan, Xifeng, Singh, Ambuj, and Bullo, Francesco
    In The Fourteenth International Conference on Learning Representations Dec, 2026

2025

  1. TIST
    GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks
    Kosan, Mert, Huang, Zexi, Medya, Sourav, Ranu, Sayan, and Singh, Ambuj
    ACM Trans. Intell. Syst. Technol. Dec, 2025
  2. ACL
    Are LLMs Truly Graph-Savvy? A Comprehensive Evaluation of Graph Generation
    Demirci, Ege, Kerur, Rithwik, and Singh, Ambuj
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), ACL 2025, Vienna, Austria, July 27 - August 1, 2025 Dec, 2025
  3. KDD
    Normalized Space Alignment: A Versatile Metric for Representation Analysis
    Ebadulla, Danish, Gulati, Aditya, and Singh, Ambuj K.
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025 Dec, 2025
  4. KDD
    Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
    Mattos, João, Huang, Zexi, Kosan, Mert, Singh, Ambuj K., and Silva, Arlei
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025 Dec, 2025
  5. NAACL
    GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
    Wu, Qiming, Chen, Zichen, Corcoran, Will, Sra, Misha, and Singh, Ambuj K.
    In Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025 Dec, 2025
  6. WWW
    Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
    Sharma, Saurabh, and Singh, Ambuj K.
    In Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 Dec, 2025

2024

  1. EMNLP
    XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
    Chen, Zichen, Chen, Jianda, Singh, Ambuj K., and Sra, Misha
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024 Dec, 2024
  2. JCIM
    Application of Transformers in Cheminformatics
    Luong, K-D, and Singh, A.
    Journal of Chemical Information and Modeling May, 2024
  3. AAAI
    DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
    Bhowmick, A., Kosan, M., Huang, Z., Singh, A., and Medya, S.
    In The 38th Annual AAAI Conference on Artificial Intelligence (AAAI’24) May, 2024
  4. KDD
    Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
    Wang, D., Antoniades, A., Luong, K-D., Zhang, E., Kosan, M., Li, J., Singh, A., Wang, W. Yang, and Li, L.
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining May, 2024
  5. ICLR
    GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
    Kosan, M., Verma, S., Armgaan, B., Pahwa, K., Singh, A., Medya, S., and Ranu, S.
    In The Twelfth International Conference on Learning Representations (ICLR) May, 2024
  6. arXiv
    Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
    Jaffe, S., Davydov, A., Lapsekili, D., Singh, A. K., and Bullo, F.
    CoRR May, 2024

2023

  1. WSDM
    AI Decision Systems with Feedback Loop Active Learner
    Kosan, M., He, L., Agrawal, S., Liu, H., and Chetia, C.
    In WSDM Crowd Science Workshop May, 2023
  2. ACS Chem Neurosci
    Computationally Designed Molecules Modulate ALS-Related Amyloidogenic TDP-43307–319 Aggregation
    Liu, X., Duan, S., Jin, Y., Walker, E., Tsao, M., Jang, J. H., Chen, Z., Singh, A. K., Lazar Cantrell, K., Ingolfsson, H. I., and others,
    ACS Chemical Neuroscience May, 2023
  3. ACS Chem Neurosci
    Computationally designed small molecules disassemble both soluble oligomers and protofibrils of amyloid β-protein responsible for Alzheimer’s disease
    Jin, Y., Downey, M. A., Singh, A., Buratto, S. K., and Bowers, M. T.
    ACS Chemical Neuroscience May, 2023
  4. AAMAS
    Feature-based Individual Fairness in k-Clustering
    Kar, D., Kosan, M., Medya, S., Mandal, D., Silva, A., Dey, P., and Sanyal, S.
    In International Conference on Autonomous Agents and Multiagent Systems (AAMAS Extended Abstract) May, 2023
  5. NeurIPS
    Fragment-based Pretraining and Finetuning on Molecular Graphs
    Luong, K-D., and Singh, A.
    In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) May, 2023
  6. WSDM
    Global Counterfactual Explainer for Graph Neural Networks
    Kosan, M., Huang, Z., Medya, S., Ranu, S., and Singh, A.
    In Web Search and Data Mining (WSDM) Feb, 2023
  7. AAAI
    Graph Macro Dynamics with Self-Attention for Event Detection
    Kosan, M., Silva, A., Medya, S., Uzzi, B., and Singh, A.
    In Deep Learning on Graphs: Methods and Applications (DLG-AAAI) Feb, 2023
  8. CCTA
    Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks
    Seccamonte, F., Singh, A. K., and Bullo, F.
    In IEEE Conference on Control Technology and Applications, CCTA 2023 Aug, 2023
  9. IJCAI
    Learning Prototype Classifiers for Long-Tailed Recognition
    Sharma, S., Xian, Y., Yu, N., and Singh, A.
    In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023 Aug, 2023

2022

  1. TKDE
    Approximate Algorithms for Data-Driven Influence Limitation
    Medya, S., Silva, A., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Aug, 2022
  2. KDD
    Deep Representations for Time-varying Brain Datasets
    Lin, S., Tang, S., Grafton, S. T., and Singh, A. K.
    In KDD ’22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Aug, 2022
  3. KDD
    FlowGEN: A Generative Model for Flow Graphs
    Kocayusufoglu, F., Silva, A., and Singh, A. K.
    In KDD ’22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Aug, 2022
  4. arXiv
    Graph Neural Diffusion Networks for Semi-supervised Learning
    Ye, W., Huang, Z., Hong, Y., and Singh, A. K.
    CoRR Aug, 2022
  5. arXiv
    Incorporating Heterophily into Graph Neural Networks for Graph Classification
    Ye, W., Yang, J., Medya, S., and Singh, A. K.
    CoRR Aug, 2022
  6. TKDE
    Learning Deep Graph Representations via Convolutional Neural Networks
    Ye, W., Askarisichani, O., Jones, A. T., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Aug, 2022
  7. NeurIPS
    Mind Reader: Reconstructing complex images from brain activities
    Lin, S., Sprague, T., and Singh, A. K.
    In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) Aug, 2022
  8. arXiv
    Modeling Human-AI Team Decision Making
    Ye, W., Bullo, F., Friedkin, N. E., and Singh, A. K.
    CoRR Aug, 2022
  9. WSDM
    Multi-Resolution Attention for Personalized Item Search
    Kocayusufoglu, F., Wu, T., Singh, A., Roumpos, G., Cheng, H-T., Jain, S., Chi, E. H., and Singh, A. K.
    In WSDM ’22: The Fifteenth ACM International Conference on Web Search and Data Mining Feb, 2022
  10. WSDM
    POLE: Polarized Embedding for Signed Networks
    Huang, Z., Silva, A., and Singh, A. K.
    In WSDM ’22: The Fifteenth ACM International Conference on Web Search and Data Mining Feb, 2022
  11. Ann. NYAS
    Predictive models for human–AI nexus in group decision making
    Askarisichani, O., Bullo, F., Friedkin, N. E., and Singh, A. K.
    Annals of the New York Academy of Sciences Feb, 2022

2021

  1. AAAI
    Group Testing on a Network
    Silva, A., and Singh, A.
    In AAAI Conference on Artificial Intelligence Feb, 2021
  2. TKDE
    Incorporating User’s Preference into Attributed Graph Clustering
    Ye, W., Mautz, D., Böhm, C., Singh, A. K., and Plant, C.
    IEEE Trans. Knowl. Data Eng. Feb, 2021
  3. TKDE
    Tree++: Truncated Tree Based Graph Kernels
    Ye, W., Wang, Z., Redberg, R., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Feb, 2021

2020

  1. TKDE
    Approximate Algorithms for Data-driven Influence Limitation
    Medya, S., Silva, A., and Singh, A.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) Feb, 2020
  2. SDM
    DANR: Discrepancy-aware Network Regularization
    You, H., Kocayusufoglu, F., and Singh, A.
    In SIAM International Conference on Data Mining (SDM) Feb, 2020
  3. arXiv
    Expertise and confidence explain how social influence evolves along intellective tasks
    Askarisichani, O., Huang, E. Y., Sato, K. S., Friedkin, N. E., Bullo, F., and Singh, A. K.
    CoRR Feb, 2020
  4. IJCAI
    A Game Theoretic Approach For Core Resilience
    Medya, S., Ma, T., Silva, A., and Singh, A.
    In IJCAI Feb, 2020
  5. AAMAS
    A Game Theoretic Approach For k-Core Minimization
    Medya, S., Ma, T., Silva, A., and Singh, A.
    In AAMAS Feb, 2020
  6. NeurIPS
    GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
    Manchanda, S., Mittal, A., Dhawan, A., Medya, S., Ranu, S., and Singh, A.
    In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) Feb, 2020

2019

  1. NeurIPS
    Estimating localized complexity of white-matter wiring with GANs
    Hallgrímsson, H. T., Sharan, R., Grafton, S. T., and Singh, A. K.
    Medical Imaging meets NeurIPS Feb, 2019
  2. Biochemistry
    Modulating ALS-Related Amyloidogenic TDP-43307–319 Oligomeric Aggregates with Computationally Derived Therapeutic Molecules
    Laos, V., Bishop, D., Lang, C. A., Marsh, N. M., Lazar Cantrell, K., Buratto, S. K., Singh, A. K., and Bowers, M. T.
    Biochemistry Feb, 2019

2018

  1. SDM
    Group centrality maximization via network design
    Medya, S., Silva, A., Singh, A. K., Basu, P., and Swami, A.
    In SIAM International Conference on Data Mining (SDM) Feb, 2018
  2. JASMS
    Inhibiting and remodeling toxic amyloid-beta oligomer formation using a computationally designed drug molecule that targets Alzheimer’s disease
    Downey, M. A., Giammona, M. J., Lang, C. A., Buratto, S. K., Singh, A., and Bowers, M. T.
    Journal of The American Society for Mass Spectrometry Feb, 2018
  3. BigData
    Learning Multiclassifiers with Predictive Features that Vary with Data Distribution
    Dang, X-H., Askarisichani, O., and Singh, A. K.
    In IEEE International Conference on Big Data (IEEE BigData 2018) Dec, 2018
  4. TKDE
    Making a Small World Smaller: Path Optimization in Networks
    Medya, S., Bogdanov, P., and Singh, A. K.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) Dec, 2018
  5. VLDB
    Noticeable Network Delay Minimization via Node Upgrades
    Medya, S., Vachery, J., Ranu, S., and Singh, A.
    In International Conference on Very Large Data Bases (VLDB) Dec, 2018
  6. NeuroImage
    Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity
    Hallgrímsson, H. T., Cieslak, M., Foschini, L., Grafton, S. T., and Singh, A. K.
    NeuroImage Dec, 2018

2017

  1. ICDE
    A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks
    Amelkin, V., Bogdanov, P., and Singh, A. K.
    In IEEE International Conference on Data Engineering (ICDE) Apr, 2017
  2. WWW
    GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks
    Hoang, M. X., Dang, X-H., Wu, X., Yan, Z., and Singh, A. K.
    In Proceedings of the 26th International Conference on World Wide Web Apr, 2017
  3. PLoS ONE
    Learning about learning: Mining human brain sub-network biomarkers from fMRI data
    Bogdanov, P., Dereli, N., Dang, X-H., Bassett, D. S., Wymbs, N. F., Grafton, S. T., and Singh, A. K.
    PLoS one Apr, 2017
  4. TAC
    Polar Opinion Dynamics in Social Networks
    Amelkin, V., Bullo, F., and Singh, A. K.
    IEEE Transactions on Automatic Control (TAC) Apr, 2017
  5. IM
    Predictive Modeling and Scalability Analysis for Large Graph Analytics
    Medya, S., Cherkasova, L., and Singh, A. K.
    In IFIP/IEEE International Symposium on Integrated Network Management, IM 2017 May, 2017
  6. WWW
    The Spread of Physical Activity Through Social Networks
    Stück, D., Hallgrímsson, H. T., Ver Steeg, G., Epasto, A., and Foschini, L.
    In Proceedings of the 26th International Conference on World Wide Web: ACM May, 2017
  7. SDM
    Subnetwork Mining with Spatial and Temporal Smoothness
    Dang, X., Hong, H., You, A. K., and Grafton, S.
    In SIAM international conference on data mining (SDM) May, 2017
  8. Book Chapter
    Through the Grapevine: A Comparison of News in Microblogs and Traditional Media
    Kang, B., Wright, H., Höllerer, T., Singh, A. K., and O’Donovan, J.
    May, 2017

2016

  1. Sunbelt
    Dynamics of Collective Performance in Collaboration Networks
    Amelkin, V., Askarisichani, O., Kim, Y. Ji, Malone, T. W., and Singh, A. K.
    In XXXVI International Sunbelt Conference May, 2016
  2. SIGSPATIAL
    FCCF: forecasting citywide crowd flows based on big data
    Hoang, M. X., Zheng, Y., and Singh, A. K.
    In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM May, 2016
  3. KDD
    Graph Wavelets via Sparse Cuts
    Silva, A., Hong, X. Dang, Basu, P., Singh, A., and Swami, A.
    In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining May, 2016
  4. Nature Methods
    Inferring causal molecular networks: empirical assessment through a community-based effort
    Hill, S. M., Heiser, L. M., Cokelaer, T., Unger, M., Nesser, N. K., Carlin, D. E., Zhang, Y., Sokolov, A., Paull, E. O., Wong, C. K., and others,
    Nature methods May, 2016
  5. TKDE
    Nearest Keyword Set Search in Multi-Dimensional Datasets
    Singh, V., Zong, B., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. May, 2016
  6. ICDM
    Outlier Detection from Network Data with Subnetwork Interpretation
    Dang, X., Hong, H., You, P. Bogdanov, and Singh, A. K.
    In IEEE International Conference Data Mining (ICDM) May, 2016
  7. SNAM
    Sign prediction in social networks based on users reputation and optimism
    Shahriari, M., Askarisichani, O. Sichani, Gharibshah, J., and Jalili, M.
    Social Network Analysis and Mining May, 2016
  8. WiOpt
    Topology design under adversarial dynamics
    Ciftcioglu, E. N., Pal, S., Chan, K. S., Cansever, D. H., Swami, A., Singh, A. K., and Basu, P.
    In 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016 May, 2016
  9. ICDM
    Towards Scalable Network Delay Minimization
    Medya, S., Bogdanov, P., and Singh, A. K.
    In IEEE 16th International Conference on Data Mining, ICDM 2016 Dec, 2016

2015

  1. VLDB
    Behavior Query Discovery in System-Generated Temporal Graphs
    Zong, B., Xiao, X., Li, Z., Wu, Z., Qian, Z., Yan, X., Singh, A. K., and Jiang, G.
    PVLDB Dec, 2015
  2. WWW
    Beyond Models: Forecasting Complex Network Processes Directly from Data
    Ribeiro, B., Hoang, M. X., and Singh, A. K.
    In Proceedings of the 24th International Conference on World Wide Web, WWW 2015 May, 2015
  3. BMCL
    Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking
    Lang, C. A., Ray, S. S., Liu, M., Singh, A. K., and Cuny, G. D.
    Bioorganic & medicinal chemistry letters May, 2015
  4. DEBS
    Herding "small" streaming queries
    Zong, B., Gkantsidis, C., and Vojnovic, M.
    In Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, DEBS ’15 Jun, 2015
  5. ICDE
    Hierarchical in-network attribute compression via importance sampling
    Silva, A., Bogdanov, P., and Singh, A. K.
    In 31st IEEE International Conference on Data Engineering, ICDE 2015 Apr, 2015
  6. ICDM
    Learning Predictive Substructures with Regularization for Network Data
    Dang, X., Hong, H., You, P. Bogdanov, and Singh, A. K.
    In Data Mining (ICDM), 2015 IEEE International Conference on Apr, 2015

2014

  1. SIGMOD
    Answering top-k representative queries on graph databases
    Ranu, S., Hoang, M. X., and Singh, A. K.
    In International Conference on Management of Data, SIGMOD 2014 Jun, 2014
  2. SWIM
    Applications of Top-k Representative Queries
    Ranu, S., Hoang, M. X., and Singh, A. K.
    In Proceedings of the Sixth Workshop on Semantic Web Information Management, SWIM 2014 Jun, 2014
  3. Adv. Mater.
    Base motif recognition and design of DNA templates for fluorescent silver clusters by machine learning
    Copp, S. M., Bogdanov, P., Debord, M., Singh, A., and Gwinn, E.
    Advanced Materials Jun, 2014
  4. ICDE
    Cloud service placement via subgraph matching
    Zong, B., Raghavendra, R., Srivatsa, M., Yan, X., Singh, A. K., and Lee, K-W.
    In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014 Mar, 2014
  5. MILCOM
    On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective
    Nguyen, D-A., Abdelzaher, T., Borbash, S., Dang, X-H., Ganti, R., Singh, A., and Srivatsa, M.
    In Military Communications Conference (MILCOM), 2014 IEEE Mar, 2014
  6. KDD
    Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data
    Dang, X., Hong, H., Singh, A. K., Bogdanov, P., You, H., and Hsu, B.
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014 Sep, 2014
  7. SNAM
    Modeling individual topic-specific behavior and influence backbone networks in social media
    Bogdanov, P., Busch, M., Moehlis, J., Singh, A. K., and Szymanski, B. K.
    Social Netw. Analys. Mining Sep, 2014
  8. arXiv
    Nearest Keyword Set Search in Multi-dimensional Datasets
    Singh, V., and Singh, A. K.
    CoRR Sep, 2014
  9. INFOCOM
    Structure and evolution of missed collaborations in large networks
    Hoang, M. X., Ramanathan, R., and Singh, A. K.
    In 2014 Proceedings IEEE INFOCOM Workshops Apr, 2014
  10. KDD
    Towards scalable critical alert mining
    Zong, B., Wu, Y., Song, J., Singh, A. K., Cam, H., Han, J., and Yan, X.
    In The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’14 Aug, 2014

2013

  1. CIKM
    Accurate and scalable nearest neighbors in large networks based on effective importance
    Bogdanov, P., and Singh, A. K.
    In 22nd ACM International Conference on Information and Knowledge Management, CIKM’13 Oct, 2013
  2. KDD
    As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs
    Bogdanov, P., Baumer, B., Basu, P., Bar-Noy, A., and Singh, A. K.
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013 Sep, 2013
  3. ICDE
    Efficient tracking and querying for coordinated uncertain mobile objects
    Larusso, N. D., and Singh, A. K.
    In 29th IEEE International Conference on Data Engineering, ICDE 2013 Apr, 2013
  4. ASONAM
    I act, therefore I judge: network sentiment dynamics based on user activity change
    Macropol, K., Bogdanov, P., Singh, A. K., Petzold, L. R., and Yan, X.
    In Advances in Social Networks Analysis and Mining 2013, ASONAM ’13 Aug, 2013
  5. KDD
    Mining discriminative subgraphs from global-state networks
    Ranu, S., Hoang, M. X., and Singh, A. K.
    In The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 Aug, 2013
  6. ICDM
    Mining Evolving Network Processes
    Mongiovì, M., Bogdanov, P., and Singh, A. K.
    In 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA Dec, 2013
  7. SDM
    NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks
    Bogdanov, P., Faloutsos, C., Mongiovì, M., Papalexakis, E. E., Ranca, R., and Singh, A. K.
    In Proceedings of the 13th SIAM International Conference on Data Mining May, 2013
  8. Bioinformatics
    Quantifying spatial relationships from whole retinal images
    Ruttenberg, B. E., Luna, G., Lewis, G. P., and Fisher, S. K.
    Bioinformatics May, 2013
  9. Book Chapter
    Sensing for Mobile Objects
    Larusso, N. D., and Singh, A. K.
    May, 2013
  10. arXiv
    The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media
    Bogdanov, P., Busch, M., Moehlis, J., Singh, A. K., and Szymanski, B. K.
    CoRR May, 2013
  11. ASONAM
    The social media genome: modeling individual topic-specific behavior in social media
    Bogdanov, P., Busch, M., Moehlis, J., Singh, A. K., and Szymanski, B. K.
    Advances in Social Networks Analysis and Mining 2013, ASONAM ’13 Aug, 2013
  12. TKDE
    Static and Dynamic Structural Correlations in Graphs
    Wu, J., Guan, Z., Zhang, Q., Singh, A. K., and Yan, X.
    IEEE Trans. Knowl. Data Eng. Aug, 2013

2012

  1. IEEE Data Eng. Bull.
    Bisque: Advances in Bioimage Databases
    Kvilekval, K., Fedorov, D., Gaur, U., Goff, S., Merchant, N., Manjunath, B. S., and Singh, A. K.
    IEEE Data Eng. Bull. Aug, 2012
  2. INFOCOM
    Efficient multicasting for delay tolerant networks using graph indexing
    Mongiovì, M., Singh, A. K., Yan, X., Zong, B., and Psounis, K.
    In Proceedings of the IEEE INFOCOM 2012 Mar, 2012
  3. EDBT
    Indexing and mining topological patterns for drug discovery
    Ranu, S., and Singh, A. K.
    In 15th International Conference on Extending Database Technology, EDBT ’12 Mar, 2012
  4. arXiv
    Inferring the Underlying Structure of Information Cascades
    Zong, B., Wu, Y., Singh, A. K., and Yan, X.
    CoRR Mar, 2012
  5. ICDM
    Inferring the Underlying Structure of Information Cascades
    Zong, B., Wu, Y., Singh, A. K., and Yan, X.
    In 12th IEEE International Conference on Data Mining, ICDM 2012 Dec, 2012
  6. arXiv
    A Latent Parameter Node-Centric Model for Spatial Networks
    Larusso, N. D., Ruttenberg, B. E., and Singh, A. K.
    CoRR Dec, 2012
  7. ISBRA
    Modeling Complex Diseases Using Discriminative Network Fragments - (Invited Keynote Talk)
    Singh, A. K.
    In Bioinformatics Research and Applications - 8th International Symposium, ISBRA 2012 May, 2012
  8. KDD
    Reachability Analysis and Modeling of Dynamic Event Networks
    Macropol, K., and Singh, A. K.
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012 Sep, 2012
  9. SIGMOD
    SigSpot: mining significant anomalous regions from time-evolving networks (abstract only)
    Mongiovì, M., Bogdanov, P., Ranca, R., Singh, A. K., Papalexakis, E. E., and Faloutsos, C.
    In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012 May, 2012
  10. EDBT
    SIMP: accurate and efficient near neighbor search in high dimensional spaces
    Singh, V., and Singh, A. K.
    15th International Conference on Extending Database Technology, EDBT ’12 Mar, 2012

2011

  1. SRDS
    Analyzing Performance of Lease-Based Schemes under Failures
    Vitenberg, R., Zinenko, D., Kvilekval, K., and Singh, A. K.
    In 30th IEEE Symposium on Reliable Distributed Systems (SRDS 2011) Oct, 2011
  2. VLDB
    Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions
    Ranu, S., and Singh, A. K.
    PVLDB Oct, 2011
  3. arXiv
    Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions
    Ranu, S., and Singh, A. K.
    CoRR Oct, 2011
  4. SIGMOD
    Assessing and ranking structural correlations in graphs
    Guan, Z., Wu, J., Zhang, Q., Singh, A. K., and Yan, X.
    In Proceedings of the ACM SIGMOD International Conference on Management of Data Oct, 2011
  5. ASONAM
    Content-based Modeling and Prediction of Information Dissemination
    Macropol, K., and Singh, A. K.
    In International Conference on Advances in Social Networks Analysis and Mining Oct, 2011
  6. VLDB
    Indexing the Earth Mover’s Distance Using Normal Distributions
    Ruttenberg, B. E., and Singh, A. K.
    PVLDB Oct, 2011
  7. arXiv
    Indexing the Earth Mover’s Distance Using Normal Distributions
    Ruttenberg, B. E., and Singh, A. K.
    CoRR Oct, 2011
  8. ICDM
    Mining Heavy Subgraphs in Time-Evolving Networks
    Bogdanov, P., Mongiò, M., and Singh, A. K.
    In 11th IEEE International Conference on Data Mining Oct, 2011
  9. JCIM
    Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space
    Ranu, S., and Singh, A. K.
    Journal of Chemical Information and Modeling Oct, 2011
  10. EDBT
    Synopses for probabilistic data over large domains
    Larusso, N. D., and Singh, A. K.
    In EDBT 2011, 14th International Conference on Extending Database Technology Oct, 2011
  11. BMC Bioinf.
    Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
    Chipman, K. C., and Singh, A. K.
    BMC Bioinformatics Oct, 2011

2010

  1. Bioinformatics
    Bisque: a platform for bioimage analysis and management
    Kvilekval, K., Fedorov, D., Obara, B., Singh, A. K., and Manjunath, B. S.
    Bioinformatics Oct, 2010
  2. TCSVT
    Efficient and Robust Detection of Duplicate Videos in a Large Database
    Sarkar, A., Singh, V., Ghosh, P., Manjunath, B. S., and Singh, A. K.
    IEEE Trans. Circuits Syst. Video Techn. Oct, 2010
  3. arXiv
    Finding top-k similar pairs of objects annotated with terms from an ontology
    Bhattacharya, A., Bhowmick, A., and Singh, A. K.
    CoRR Oct, 2010
  4. SSDBM
    Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
    Bhattacharya, A., Bhowmick, A., and Singh, A. K.
    In Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010 Oct, 2010
  5. GrC
    Geo-clustering of Images with Missing GeoTags
    Singh, V., Venkatesha, S., and Singh, A. K.
    In IEEE International Conference on Granular Computing, GrC 2010 Oct, 2010
  6. Comput. Biol.
    Molecular Function Prediction Using Neighborhood Features
    Bogdanov, P., Singh, M., and Singh, A. K.
    IEEE/ACM Trans. Comput. Biology Bioinform. Oct, 2010
  7. arXiv
    Profile Based Sub-Image Search in Image Databases
    Singh, V., and Singh, A. K.
    CoRR Oct, 2010
  8. Book Chapter
    Query Language and Access Methods for Graph Databases
    He, H., and Singh, A. K.
    Oct, 2010
  9. EDBT
    Querying spatial patterns
    Singh, V., Bhattacharya, A., and Singh, A. K.
    In EDBT 2010, 13th International Conference on Extending Database Technology Oct, 2010
  10. VLDB
    Scalable Discovery of Best Clusters on Large Graphs
    Macropol, K., and Singh, A. K.
    PVLDB Oct, 2010
  11. ICDM
    Towards Community Discovery in Signed Collaborative Interaction Networks
    Bogdanov, P., Larusso, N. D., and Singh, A. K.
    In ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops Oct, 2010

2009

  1. Bioinformatics
    Accurate and Scalable Techniques for the Complex/Pathway Membership Problem in Protein Networks
    cCamoglu, O., Can, T., and Singh, A. K.
    Adv. Bioinformatics Oct, 2009
  2. arXiv
    Finding Significant Subregions in Large Image Databases
    Singh, V., Bhattacharya, A., and Singh, A. K.
    CoRR Oct, 2009
  3. ICDE
    GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
    Ranu, S., and Singh, A. K.
    In Proceedings of the 25th International Conference on Data Engineering Oct, 2009
  4. JCIM
    Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification
    Ranu, S., and Singh, A. K.
    Journal of Chemical Information and Modeling Oct, 2009
  5. TKDE
    Optimization Techniques for Reactive Network Monitoring
    Bulut, A., Koudas, N., Meka, A., Singh, A. K., and Srivastava, D.
    IEEE Trans. Knowl. Data Eng. Oct, 2009
  6. BMC Bioinf.
    Predicting genetic interactions with random walks on biological networks
    Chipman, K. C., and Singh, A. K.
    BMC Bioinformatics Oct, 2009
  7. BMC Bioinf.
    RRW: repeated random walks on genome-scale protein networks for local cluster discovery
    Macropol, K., Can, T., and Singh, A. K.
    BMC Bioinformatics Oct, 2009

2008

  1. SSDBM
    Efficient Computation of Statistical Significance of Query Results in Databases
    Singh, V., Bhattacharya, A., and Singh, A. K.
    In Scientific and Statistical Database Management, 20th International Conference, SSDBM 2008 Oct, 2008
  2. BMC Bioinf.
    A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics
    Bhattacharya, A., Levy, S., LeBoeuf, A., Gaylord, M., Wilson, L., Singh, A. K., and Feinstein, S. C.
    BMC Bioinformatics Oct, 2008
  3. SIGMOD
    Graphs-at-a-time: query language and access methods for graph databases
    He, H., and Singh, A. K.
    In Proceedings of the ACM SIGMOD International Conference on Management of Data Oct, 2008
  4. ICDE
    Top-k Spatial Joins of Probabilistic Objects
    Ljosa, V., and Singh, A. K.
    In Proceedings of the 24th International Conference on Data Engineering Oct, 2008

2007

  1. ICDE
    APLA: Indexing Arbitrary Probability Distributions
    Ljosa, V., and Singh, A. K.
    In Proceedings of the 23rd International Conference on Data Engineering Oct, 2007
  2. ICDM
    Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees
    He, H., and Singh, A. K.
    In Proceedings of the 7th IEEE International Conference on Data Mining Oct, 2007
  3. Book Chapter
    Indexing and Querying Data Streams
    Bulut, A., and Singh, A. K.
    Oct, 2007
  4. VLDB
    MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
    Bhattacharya, A., Meka, A., and Singh, A. K.
    In Proceedings of the 33rd International Conference on Very Large Data Bases Oct, 2007

2006

  1. ICDE
    Closure-Tree: An Index Structure for Graph Queries
    He, H., and Singh, A. K.
    In Proceedings of the 22nd International Conference on Data Engineering Oct, 2006
  2. EDBT
    Distributed Spatial Clustering in Sensor Networks
    Meka, A., and Singh, A. K.
    In Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology Oct, 2006
  3. ICDM
    GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space
    He, H., and Singh, A. K.
    In Proceedings of the 6th IEEE International Conference on Data Mining Oct, 2006
  4. EDBT
    Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds
    Ljosa, V., Bhattacharya, A., and Singh, A. K.
    In Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology Oct, 2006
  5. Bioinformatics
    Integrating multi-attribute similarity networks for robust representation of the protein space
    cCamoglu, O., Can, T., and Singh, A. K.
    Bioinformatics Oct, 2006
  6. ICDE
    LB-Index: A Multi-Resolution Index Structure for Images
    Ljosa, V., Bhattacharya, A., and Singh, A. K.
    In Proceedings of the 22nd International Conference on Data Engineering Oct, 2006
  7. ICDM
    Probabilistic Segmentation and Analysis of Horizontal Cells
    Ljosa, V., and Singh, A. K.
    In Proceedings of the 6th IEEE International Conference on Data Mining Oct, 2006

2005

  1. KDD
    Analysis of protein-protein interaction networks using random walks
    Can, T., cCamoglu, O., and Singh, A. K.
    In Proceedings of the 5th international workshop on Bioinformatics, BIOKDD 2005 Oct, 2005
  2. CSB
    Current Challenges in Bioimage Database Design
    Singh, A. K., Bhattacharya, A., and Ljosa, V.
    In Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, CSB 2005 Workshops Oct, 2005
  3. Comput. Biol.
    Decision Tree Based Information Integration for Automated Protein Classification
    cCamoglu, O., Can, T., Singh, A. K., and Wang, Y-F.
    J. Bioinformatics and Computational Biology Oct, 2005
  4. CIKM
    DIST: a distributed spatio-temporal index structure for sensor networks
    Meka, A., and Singh, A. K.
    In Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management Oct, 2005
  5. IPDPS
    Distributed Data Streams Indexing using Content-Based Routing Paradigm
    Bulut, A., Singh, A. K., and Vitenberg, R.
    In 19th International Parallel and Distributed Processing Symposium, IPDPS 2005 Oct, 2005
  6. Bioinformatics
    Scalable Index Structures for Biological Data
    Singh, A. K.
    Oct, 2005
  7. CIKM
    Scalable ranking for preference queries
    Feng, Y., Agrawal, D., El Abbadi, A., and Singh, A. K.
    In Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management Oct, 2005
  8. ICDE
    A Unified Framework for Monitoring Data Streams in Real Time
    Bulut, A., and Singh, A. K.
    In Proceedings of the 21st International Conference on Data Engineering Oct, 2005
  9. ICDM
    ViVo: Visual Vocabulary Construction for Mining Biomedical Images
    Bhattacharya, A., Ljosa, V., Pan, J-Y., Verardo, M. R., Yang, H-J., Faloutsos, C., and Singh, A. K.
    In Proceedings of the 5th IEEE International Conference on Data Mining Oct, 2005

2004

  1. CSB
    Automated Protein Classification Using Consensus Decision
    Can, T., cCamoglu, O., Singh, A. K., and Wang, Y-F.
    In 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2004 Oct, 2004
  2. SIGMOD
    A Distributed Database for BioMolecular Images
    Singh, A. K., Manjunath, B. S., and Murphy, R. F.
    SIGMOD Record Oct, 2004
  3. ECOOP
    Increasing Concurrency in Databases Using Program Analysis
    Vitenberg, R., Kvilekval, K., and Singh, A. K.
    In ECOOP 2004 - Object-Oriented Programming, 18th European Conference Oct, 2004
  4. Comput. Biol.
    Index-based Similarity Search for Protein Structure Databases
    cCamoglu, O., Kahveci, T., and Singh, A. K.
    J. Bioinformatics and Computational Biology Oct, 2004
  5. TKDE
    Optimizing Similarity Search for Arbitrary Length Time Series Queries
    Kahveci, T., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Oct, 2004
  6. PSB
    ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure
    Bhattacharya, A., Can, T., Kahveci, T., Singh, A. K., and Wang, Y-F.
    In Biocomputing 2004, Proceedings of the Pacific Symposium Oct, 2004
  7. IEEE Data Eng. Bull.
    Progressive Searching of Biological Sequences
    Kahveci, T., and Singh, A. K.
    IEEE Data Eng. Bull. Oct, 2004
  8. Bioinformatics
    Speeding up whole-genome alignment by indexing frequency vectors
    Kahveci, T., Ljosa, V., and Singh, A. K.
    Bioinformatics Oct, 2004
  9. Book Chapter
    SPREE: Object Prefetching for Mobile Computers
    Kvilekval, K., and Singh, A. K.
    In On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE, OTM Confederated International Conferences Oct, 2004

2003

  1. Book Chapter
    An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
    Bulut, A., Vitenberg, R., Emekçi, F., and Singh, A. K.
    In Databases, Information Systems, and Peer-to-Peer Computing, First International Workshop, DBISP2P, Berlin Germany Oct, 2003
  2. Multimedia Syst.
    Browsing and placement of multi-resolution images on parallel disks
    Prabhakar, S., Agrawal, D., El Abbadi, A., Singh, A. K., and Smith, T. R.
    Multimedia Syst. Oct, 2003
  3. ISMB
    Deriving phylogenetic trees from the similarity analysis of metabolic pathways
    Heymans, M., and Singh, A. K.
    In Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology Oct, 2003
  4. ASE J.
    Dynamic Query-Based Debugging of Object-Oriented Programs
    Lencevicius, R., Hölzle, U., and Singh, A. K.
    Autom. Softw. Eng. Oct, 2003
  5. ICDE
    Fast alignment of large genome databases
    Kahveci, T., and Singh, A. K.
    In Proceedings of the 19th International Conference on Data Engineering Oct, 2003
  6. IJIG
    Faster Similarity Search for Multimedia Data Via Query Transformations
    Lang, C. A., and Singh, A. K.
    Int. J. Image Graphics Oct, 2003
  7. CSB
    Genome on Demand: Interactive Substring Searching
    Kahveci, T., and Singh, A. K.
    In 2nd IEEE Computer Society Bioinformatics Conference, CSB 2003 Oct, 2003
  8. ICDE
    Joining Massive High-Dimensional Datasets
    Kahveci, T., Lang, C. A., and Singh, A. K.
    In Proceedings of the 19th International Conference on Data Engineering Oct, 2003
  9. PSB
    MAP: Searching Large Genome Databases
    Kahveci, T., and Singh, A. K.
    In Proceedings of the 8th Pacific Symposium on Biocomputing, PSB 2003 Oct, 2003
  10. ISMB
    PSI: indexing protein structures for fast similarity search
    cCamoglu, O., Kahveci, T., and Singh, A. K.
    In Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology Oct, 2003
  11. OMICS
    Querying and Mining Biological Databases
    Singh, A. K.
    OMICS Oct, 2003
  12. ICDE
    SWAT: Hierarchical Stream Summarization in Large Networks
    Bulut, A., and Singh, A. K.
    In Proceedings of the 19th International Conference on Data Engineering Oct, 2003
  13. CSB
    Towards Index-based Similarity Search for Protein Structure Databases
    cCamoglu, O., Kahveci, T., and Singh, A. K.
    In 2nd IEEE Computer Society Bioinformatics Conference, CSB 2003 Oct, 2003