Sanjukta Bhowmick

Orcid: 0000-0001-8550-5371

According to our database1, Sanjukta Bhowmick authored at least 73 papers between 2002 and 2024.

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Bibliography

2024
Improving Node Classification Accuracy of GNN through Input and Output Intervention.
ACM Trans. Knowl. Discov. Data, January, 2024

2023
A Survey of Graph Comparison Methods with Applications to Nondeterminism in High-Performance Computing.
Int. J. High Perform. Comput. Appl., July, 2023

Partitioning Communication Streams Into Graph Snapshots.
IEEE Trans. Netw. Sci. Eng., 2023


A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs.
Proceedings of the 35th IEEE International Symposium on Computer Architecture and High Performance Computing, 2023

Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
A Parallel Algorithm Template for Updating Single-Source Shortest Paths in Large-Scale Dynamic Networks.
IEEE Trans. Parallel Distributed Syst., 2022

A Shared-Memory Algorithm for Updating Tree-Based Properties of Large Dynamic Networks.
IEEE Trans. Big Data, 2022

Constant community identification in million-scale networks.
Soc. Netw. Anal. Min., 2022

From base data to knowledge discovery - <i>A life cycle approach</i> - Using multilayer networks.
Data Knowl. Eng., 2022

IPDPS 2022 PhD Forum.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

A Research-Based Course Module to Study Non-determinism in High Performance Applications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Parallel Vertex Color Update on Large Dynamic Networks.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels.
IEEE Trans. Parallel Distributed Syst., 2021

ANACIN-X: A software framework for studying non-determinism in MPI applications.
Softw. Impacts, 2021

Applying a Probabilistic Infection Model for studying contagion processes in contact networks.
J. Comput. Sci., 2021

From Base Data To Knowledge Discovery - A Life Cycle Approach - Using Multilayer Networks.
CoRR, 2021

Investing Data with Untrusted Parties using HE.
Proceedings of the 18th International Conference on Security and Cryptography, 2021

Constant community identification in million scale networks using image thresholding algorithms.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation.
CoRR, 2020

A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks.
Proceedings of the Computational Science - ICCS 2020, 2020

On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks.
Proceedings of the Computational Science - ICCS 2020, 2020

EER$\rightarrow $MLN: EER Approach for Modeling, Mapping, and Analyzing Complex Data Using Multilayer Networks (MLNs).
Proceedings of the Conceptual Modeling - 39th International Conference, 2020

Characterization of S. cerevisiae Protein Complexes by Representative DDI Graph Planarity.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019
An Efficient Framework for Computing Structure- And Semantics-Preserving Community in a Heterogeneous Multilayer Network.
CoRR, 2019

Efficient Community Detection in Boolean Composed Multiplex Networks.
CoRR, 2019

Making a Case for MLNs for Data-Driven Analysis: Modeling, Efficiency, and Versatility.
CoRR, 2019

Structure-Preserving Community In A Multilayer Network: Definition, Detection, And Analysis.
CoRR, 2019

2018
Using core-periphery structure to predict high centrality nodes in time-varying networks.
Data Min. Knowl. Discov., 2018

A Shared-Memory Parallel Algorithm for Updating Single-Source Shortest Paths in Large Dynamic Networks.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

On Rich Clubs of Path-Based Centralities in Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Single-Source Shortest Path Tree for Big Dynamic Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
HUBify: Efficient Estimation of Central Entities Across Multiplex Layer Compositions.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Efficient Community Re-creation in Multilayer Networks Using Boolean Operations.
Proceedings of the International Conference on Computational Science, 2017

Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challenges.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
GenPerm: A Unified Method for Detecting Non-Overlapping and Overlapping Communities.
IEEE Trans. Knowl. Data Eng., 2016

Permanence and Community Structure in Complex Networks.
ACM Trans. Knowl. Discov. Data, 2016

Scalable Holistic Analysis of Multi-Source, Data-Intensive Problems Using Multilayered Networks.
CoRR, 2016

Application of Graph Sparsification in Developing Parallel Algorithms for Updating Connected Components.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Understanding Stability of Noisy Networks through Centrality Measures and Local Connections.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sensitivity and reliability in incomplete networks: Centrality metrics to community scoring functions.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Gender Assignment for Directional Full-Duplex FDD Nodes in a Multihop Wireless Network.
Proceedings of the Ad Hoc Networks - 8th International Conference, 2016

2015
A new augmentation based algorithm for extracting maximal chordal subgraphs.
J. Parallel Distributed Comput., 2015

2014
Identifying Important Classes of Large Software Systems through k-Core Decomposition.
Adv. Complex Syst., 2014

An extremely fast algorithm for identifying high closeness centrality vertices in large-scale networks.
Proceedings of the Fourth Workshop on Irregular Applications, 2014

On the permanence of vertices in network communities.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Building blocks for graph based network analysis.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

2013
Constant Communities in Complex Networks
CoRR, 2013

Towards Context-Aware, Real Time and Autonomous Decision Making Using Information Aggregation and Network Analytics.
Proceedings of the Eighth Conference on Semantic Technologies for Intelligence, 2013

Identifying High betweenness Centrality Vertices in Large Noisy Networks.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

A structure-preserving hybrid-chordal filter for sampling in correlation networks.
Proceedings of the International Conference on High Performance Computing & Simulation, 2013

Analysis of Incrementally Generated Clusters in Biological Networks Using Graph-Theoretic Filters and Ontology Enrichment.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Function-preserving Filters for Sampling in Biological Networks.
Proceedings of the International Conference on Computational Science, 2012

The Development of Parallel Adaptive Sampling Algorithms for Analyzing Biological Networks.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Novel Multithreaded Algorithm for Extracting Maximal Chordal Subgraphs.
Proceedings of the 41st International Conference on Parallel Processing, 2012

A Comparison of Computational Approaches in the Molecular Identification of Pathogenic Organisms.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Identifying base clusters and their application to maximizing modularity.
Proceedings of the Graph Partitioning and Graph Clustering, 2012

A comparison between hierarchical clustering and community detection method in the collection of gene targets for molecular identification of pathogenic fungi.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

On the design of advanced filters for biological networks using graph theoretic properties.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
A Parallel Graph Sampling Algorithm for Analyzing Gene Correlation Networks.
Proceedings of the International Conference on Computational Science, 2011

ACM SRC poster: a scalable group testing based algorithm for finding d-highest betweenness centrality vertices in large scale networks.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

A noise reducing sampling approach for uncovering critical properties in large scale biological networks.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

Measuring disruption from software evolution activities using graph-based metrics.
Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011

2010
Towards high-quality, untangled meshes via a force-directed graph embedding approach.
Proceedings of the International Conference on Computational Science, 2010

Fast Community Detection for Dynamic Complex Networks.
Proceedings of the Complex Networks - Second International Workshop, 2010

Feature subspace transformations for enhancing k-means clustering.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Application of Alternating Decision Trees in Selecting Sparse Linear Solvers.
Proceedings of the Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010

2009
Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection.
Proceedings of the Computational Science, 2009

2008
Improving the Performance of Graph Coloring Algorithms through Backtracking.
Proceedings of the Computational Science, 2008

2006
Middleware for Dynamic Adaptation of Component Applications.
Proceedings of the Grid-Based Problem Solving Environments, 2006

2004
Faster PDE-based simulations using robust composite linear solvers.
Future Gener. Comput. Syst., 2004

2003
The Role of Multi-method Linear Solvers in PDE-based Simulations.
Proceedings of the Computational Science and Its Applications, 2003

2002
A Combinatorial Scheme for Developing Efficient Composite Solvers.
Proceedings of the Computational Science - ICCS 2002, 2002


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