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ORCIDSanjukta Bhowmick
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2020 – today
- 2024
[j18]Abhishek Santra, Fariba Afrin Irany, Kamesh Madduri, Sharma Chakravarthy, Sanjukta Bhowmick:
Efficient community detection in multilayer networks using boolean compositions. Frontiers Big Data 6 (2024)- [j17]Anjan Chowdhury
, Sriram Srinivasan, Animesh Mukherjee, Sanjukta Bhowmick, Kuntal Ghosh:
Improving Node Classification Accuracy of GNN through Input and Output Intervention. ACM Trans. Knowl. Discov. Data 18(1): 17:1-17:31 (2024) - [i16]Fariba Afrin Irany, Soumya Sarakar, Animesh Mukherjee, Sanjukta Bhowmick:
Sampling-Based Attack for Centrality Disruption in Complex Networks. CoRR abs/2407.06558 (2024) - 2023
- [j16]Sanjukta Bhowmick, Patrick Bell, Michela Taufer:
A Survey of Graph Comparison Methods with Applications to Nondeterminism in High-Performance Computing. Int. J. High Perform. Comput. Appl. 37(3-4): 306-327 (2023) - [j15]Jeremy D. Wendt, Richard V. Field Jr., Cynthia A. Phillips, Arvind Prasadan, Tegan Wilson, Sucheta Soundarajan, Sanjukta Bhowmick:
Partitioning Communication Streams Into Graph Snapshots. IEEE Trans. Netw. Sci. Eng. 10(2): 809-826 (2023) - [c48]Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae:
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP 2023: 665-674 - [c47]S. Srinivasan, Arindam Khanda, S. Srinivasan, A. Pandey, Sajal K. Das, Sanjukta Bhowmick, Boyana Norris:
A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs. SBAC-PAD 2023: 109-118 - [c46]Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal:
EduHPC Lightning Talk Summary. SC Workshops 2023: 374-378 - 2022
- [j14]Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
From base data to knowledge discovery - A life cycle approach - Using multilayer networks. Data Knowl. Eng. 141: 102058 (2022) - [j13]Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh:
Constant community identification in million-scale networks. Soc. Netw. Anal. Min. 12(1): 70 (2022) - [j12]Sriram Srinivasan, Samuel D. Pollard, Boyana Norris, Sajal K. Das, Sanjukta Bhowmick:
A Shared-Memory Algorithm for Updating Tree-Based Properties of Large Dynamic Networks. IEEE Trans. Big Data 8(2): 302-317 (2022) - [j11]Arindam Khanda, Sriram Srinivasan, Sanjukta Bhowmick, Boyana Norris, Sajal K. Das:
A Parallel Algorithm Template for Updating Single-Source Shortest Paths in Large-Scale Dynamic Networks. IEEE Trans. Parallel Distributed Syst. 33(4): 929-940 (2022) - [c45]Arindam Khanda, Sanjukta Bhowmick, Xin Liang, Sajal K. Das:
Parallel Vertex Color Update on Large Dynamic Networks. HIPC 2022: 115-124 - [c44]Patrick Bell, Kae Suarez, Barbara Fossum, Dylan Chapp, Sanjukta Bhowmick, Michela Taufer:
A Research-Based Course Module to Study Non-determinism in High Performance Applications. IPDPS Workshops 2022: 346-353 - [c43]Sanjukta Bhowmick, Anne-Cécile Orgerie:
IPDPS 2022 PhD Forum. IPDPS Workshops 2022: 1275-1294 - 2021
- [j10]William Qian, Sanjukta Bhowmick, Marty O'Neill II, Suhasini Ramisetty-Mikler, Armin R. Mikler:
Applying a Probabilistic Infection Model for studying contagion processes in contact networks. J. Comput. Sci. 54: 101419 (2021) - [j9]Patrick Bell, Kae Suarez, Dylan Chapp, Nigel Tan, Sanjukta Bhowmick, Michela Taufer:
ANACIN-X: A software framework for studying non-determinism in MPI applications. Softw. Impacts 10: 100151 (2021) - [j8]Dylan Chapp, Nigel Tan, Sanjukta Bhowmick, Michela Taufer:
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels. IEEE Trans. Parallel Distributed Syst. 32(12): 2936-2952 (2021) - [c42]Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh:
Constant community identification in million scale networks using image thresholding algorithms. ASONAM 2021: 116-120 - [c41]Mark Dockendorf, Ram Dantu, Kirill Morozov, Sanjukta Bhowmick:
Investing Data with Untrusted Parties using HE. SECRYPT 2021: 845-853 - [i15]Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
From Base Data To Knowledge Discovery - A Life Cycle Approach - Using Multilayer Networks. CoRR abs/2105.11410 (2021) - 2020
- [c40]William Gasper, Kathryn M. Cooper, Nathan Cornelius, Hesham Ali, Sanjukta Bhowmick:
Characterization of S. cerevisiae Protein Complexes by Representative DDI Graph Planarity. BCB 2020: 21:1-21:6 - [c39]Kanthi Sannappa Komar, Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
EER$\rightarrow $MLN: EER Approach for Modeling, Mapping, and Analyzing Complex Data Using Multilayer Networks (MLNs). ER 2020: 555-572 - [c38]Kathryn M. Cooper, Nathan Cornelius, William Gasper, Sanjukta Bhowmick, Hesham Ali:
On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks. ICCS (1) 2020: 652-666 - [c37]Willian Qian, Sanjukta Bhowmick, Marty O'Neill II, Susie Ramisetty-Mikler, Armin R. Mikler:
A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks. ICCS (1) 2020: 676-689 - [i14]Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation. CoRR abs/2004.09625 (2020)
2010 – 2019
- 2019
- [i13]Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
Structure-Preserving Community In A Multilayer Network: Definition, Detection, And Analysis. CoRR abs/1903.02641 (2019) - [i12]Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility. CoRR abs/1909.09908 (2019) - [i11]Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
Efficient Community Detection in Boolean Composed Multiplex Networks. CoRR abs/1910.01443 (2019) - [i10]Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
An Efficient Framework for Computing Structure- And Semantics-Preserving Community in a Heterogeneous Multilayer Network. CoRR abs/1910.01737 (2019) - 2018
- [j7]Soumya Sarkar, Sandipan Sikdar, Sanjukta Bhowmick, Animesh Mukherjee:
Using core-periphery structure to predict high centrality nodes in time-varying networks. Data Min. Knowl. Discov. 32(5): 1368-1396 (2018) - [c36]Sara Riazi, Sriram Srinivasan, Sajal K. Das, Sanjukta Bhowmick, Boyana Norris:
Single-Source Shortest Path Tree for Big Dynamic Graphs. IEEE BigData 2018: 4054-4062 - [c35]Soumya Sarkar, Sanjukta Bhowmick, Animesh Mukherjee:
On Rich Clubs of Path-Based Centralities in Networks. CIKM 2018: 567-576 - [c34]Sriram Srinivasan, Sara Riazi, Boyana Norris, Sajal K. Das, Sanjukta Bhowmick:
A Shared-Memory Parallel Algorithm for Updating Single-Source Shortest Paths in Large Dynamic Networks. HiPC 2018: 245-254 - [e1]Srinivas Aluru, Ananth Kalyanaraman, Debajyoti Bera, Kishore Kothapalli, David Abramson, Ilkay Altintas, Sanjukta Bhowmick, Madhu Govindaraju, Smruti Ranjan Sarangi, Sushil K. Prasad, Steven Bogaerts, Vikas Saxena, Sanjay Goel:
2018 Eleventh International Conference on Contemporary Computing, IC3 2018, Noida, India, August 2-4, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-6834-4 [contents] - [i9]Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee, Sanjukta Bhowmick:
Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks. CoRR abs/1806.07868 (2018) - [i8]Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
On Rich Clubs of Path-Based Centralities in Networks. CoRR abs/1808.02903 (2018) - 2017
- [c33]Abhishek Santra, Sanjukta Bhowmick:
Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challenges. BDA 2017: 59-68 - [c32]Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
Efficient Community Re-creation in Multilayer Networks Using Boolean Operations. ICCS 2017: 58-67 - [c31]Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
HUBify: Efficient Estimation of Central Entities Across Multiplex Layer Compositions. ICDM Workshops 2017: 142-149 - 2016
- [j6]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. ACM Trans. Knowl. Discov. Data 11(2): 14:1-14:34 (2016) - [j5]Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
GenPerm: A Unified Method for Detecting Non-Overlapping and Overlapping Communities. IEEE Trans. Knowl. Data Eng. 28(8): 2101-2114 (2016) - [c30]Moein Parsinia, Qidi Peng, Sanjukta Bhowmick, John D. Matyjas, Sunil Kumar:
Gender Assignment for Directional Full-Duplex FDD Nodes in a Multihop Wireless Network. ADHOCNETS 2016: 390-401 - [c29]Soumya Sarkar, Suhansanu Kumar, Sanjukta Bhowmick, Animesh Mukherjee:
Sensitivity and reliability in incomplete networks: Centrality metrics to community scoring functions. ASONAM 2016: 69-72 - [c28]Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. CIKM 2016: 2347-2352 - [c27]Sriram Srinivasan, Sanjukta Bhowmick, Sajal K. Das:
Application of Graph Sparsification in Developing Parallel Algorithms for Updating Connected Components. IPDPS Workshops 2016: 885-891 - [i7]Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
GenPerm: A Unified Method for Detecting Non-overlapping and Overlapping Communities. CoRR abs/1604.03454 (2016) - [i6]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. CoRR abs/1606.01543 (2016) - [i5]Soumya Sarkar, Sanjukta Bhowmick, Suhansanu Kumar, Animesh Mukherjee:
Sensitivity and Reliability in Incomplete Networks: Centrality Metrics to Community Scoring Functions. CoRR abs/1608.05295 (2016) - [i4]Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. CoRR abs/1609.05402 (2016) - [i3]Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
Scalable Holistic Analysis of Multi-Source, Data-Intensive Problems Using Multilayered Networks. CoRR abs/1611.01546 (2016) - 2015
- [j4]Sanjukta Bhowmick, Tzu-Yi Chen, Mahantesh Halappanavar:
A new augmentation based algorithm for extracting maximal chordal subgraphs. J. Parallel Distributed Comput. 76: 132-144 (2015) - 2014
- [j3]P. Meyer, Harvey P. Siy, Sanjukta Bhowmick:
Identifying Important Classes of Large Software Systems through k-Core Decomposition. Adv. Complex Syst. 17(7-8) (2014) - [c26]Vladimir Ufimtsev, Sanjukta Bhowmick, Sivasankaran Rajamanickam:
Building blocks for graph based network analysis. HPEC 2014: 1-6 - [c25]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the permanence of vertices in network communities. KDD 2014: 1396-1405 - [c24]Vladimir Ufimtsev, Sanjukta Bhowmick:
An extremely fast algorithm for identifying high closeness centrality vertices in large-scale networks. IA3@SC 2014: 53-56 - [i2]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the Permanence of Vertices in Network Communities. CoRR abs/1406.2426 (2014) - 2013
- [j2]Kathryn Dempsey, Vladimir Ufimtsev, Sanjukta Bhowmick, Hesham Ali:
A Parallel Template for Implementing filters for biological Correlation Networks. Int. J. Comput. 12(4): 285-297 (2013) - [c23]Sean West, Kathryn Dempsey, Sanjukta Bhowmick, Hesham H. Ali:
Analysis of Incrementally Generated Clusters in Biological Networks Using Graph-Theoretic Filters and Ontology Enrichment. ICDM Workshops 2013: 584-591 - [c22]Kathryn Dempsey, Tzu-Yi Chen, Sriram Srinivasan, Sanjukta Bhowmick, Hesham H. Ali:
A structure-preserving hybrid-chordal filter for sampling in correlation networks. HPCS 2013: 243-250 - [c21]Vladimir Ufimtsev, Sanjukta Bhowmick:
Identifying High betweenness Centrality Vertices in Large Noisy Networks. IPDPS Workshops 2013: 2234-2237 - [c20]Prithviraj Dasgupta, Sanjukta Bhowmick:
Towards Context-Aware, Real Time and Autonomous Decision Making Using Information Aggregation and Network Analytics. STIDS 2013: 166-169 - [i1]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Sanjukta Bhowmick, Animesh Mukherjee:
Constant Communities in Complex Networks. CoRR abs/1302.5794 (2013) - 2012
- [c19]Kathryn Dempsey, Tzu-Yi Chen, Sanjukta Bhowmick, Hesham H. Ali:
On the design of advanced filters for biological networks using graph theoretic properties. BIBM 2012: 1-5 - [c18]Ishwor Thapa, Sanjukta Bhowmick, Dhundy Bastola:
A comparison between hierarchical clustering and community detection method in the collection of gene targets for molecular identification of pathogenic fungi. BIBM Workshops 2012: 756-761 - [c17]Sriram Srinivasan, Tanmoy Chakraborty, Sanjukta Bhowmick:
Identifying base clusters and their application to maximizing modularity. Graph Partitioning and Graph Clustering 2012: 141-156 - [c16]Dhundy Bastola, Scott McGrath, Sanjukta Bhowmick, Ishwor Thapa:
A Comparison of Computational Approaches in the Molecular Identification of Pathogenic Organisms. HISB 2012: 73 - [c15]Mahantesh Halappanavar, John Feo, Kathryn Dempsey, Hesham H. Ali, Sanjukta Bhowmick:
A Novel Multithreaded Algorithm for Extracting Maximal Chordal Subgraphs. ICPP 2012: 58-67 - [c14]Kathryn Dempsey, Kanimathi Duraisamy, Sanjukta Bhowmick, Hesham H. Ali:
The Development of Parallel Adaptive Sampling Algorithms for Analyzing Biological Networks. IPDPS Workshops 2012: 725-734 - [c13]Kathryn Dempsey, Sanjukta Bhowmick, Hesham H. Ali:
Function-preserving Filters for Sampling in Biological Networks. ICCS 2012: 587-595 - 2011
- [c12]Prashant Paymal, Rajvardhan Patil, Sanjukta Bhowmick, Harvey P. Siy:
Measuring disruption from software evolution activities using graph-based metrics. ICSM 2011: 532-535 - [c11]Kanimathi Duraisamy, Kathryn Dempsey, Hesham H. Ali, Sanjukta Bhowmick:
A noise reducing sampling approach for uncovering critical properties in large scale biological networks. HPCS 2011: 721-728 - [c10]Sanjukta Bhowmick, Vyacheslav V. Rykov, Vladimir Ufimtsev:
ACM SRC poster: a scalable group testing based algorithm for finding d-highest betweenness centrality vertices in large scale networks. SC Companion 2011: 121-122 - [c9]Kathryn Dempsey, Kanimathi Duraisamy, Hesham H. Ali, Sanjukta Bhowmick:
A Parallel Graph Sampling Algorithm for Analyzing Gene Correlation Networks. ICCS 2011: 136-145 - 2010
- [c8]Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan:
Feature subspace transformations for enhancing k-means clustering. CIKM 2010: 1801-1804 - [c7]Shweta Bansal, Sanjukta Bhowmick, Prashant Paymal:
Fast Community Detection for Dynamic Complex Networks. CompleNet 2010: 196-207 - [c6]Sanjukta Bhowmick, Suzanne M. Shontz:
Towards high-quality, untangled meshes via a force-directed graph embedding approach. ICCS 2010: 357-366 - [p1]Sanjukta Bhowmick, Victor Eijkhout, Yoav Freund, Erika Fuentes, David E. Keyes:
Application of Alternating Decision Trees in Selecting Sparse Linear Solvers. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 153-173
2000 – 2009
- 2009
- [c5]Sanjukta Bhowmick, Brice Toth, Padma Raghavan:
Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. ICCS (1) 2009: 463-472 - 2008
- [c4]Sanjukta Bhowmick, Paul D. Hovland:
Improving the Performance of Graph Coloring Algorithms through Backtracking. ICCS (1) 2008: 873-882 - 2006
- [c3]Boyana Norris, Sanjukta Bhowmick, Dinesh K. Kaushik, Lois Curfman McInnes:
Middleware for Dynamic Adaptation of Component Applications. Grid-Based Problem Solving Environments 2006: 127-149 - 2004
- [j1]Sanjukta Bhowmick, Padma Raghavan, Lois C. McInnes, Boyana Norris:
Faster PDE-based simulations using robust composite linear solvers. Future Gener. Comput. Syst. 20(3): 373-387 (2004) - 2003
- [c2]Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris, Padma Raghavan:
The Role of Multi-method Linear Solvers in PDE-based Simulations. ICCSA (1) 2003: 828-839 - 2002
- [c1]Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi:
A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) 2002: 325-334
Coauthor Index
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last updated on 2024-10-07 02:34 CEST by the dblp team
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