Following is a list of the major research publications that I have. To get the full list of my publications, please visit my DBLP or Google Scholar profiles.
Major Conference Publications:
Sambaran Bandyopadhyay and Vishal Peter: Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network, UAI 2021
Sambaran Bandyopadhyay, Manasvi Aggarwal and M. Narasimha Murty: A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention, PAKDD 2021
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam: Graph Neural Network to Dilute Outliers for Refactoring Monolith Application, AAAI 2021
Sambaran Bandyopadhyay, Kishalay Das and M. Narasimha Murty: Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion, In 2020 IEEE International Conference on Big Data (IEEE BigData 2020)
Sambaran Bandyopadhyay, Manasvi Aggarwal and M. Narasimha Murty: Self-supervised Hierarchical Graph Neural Network for Graph Representation, In 2020 IEEE International Conference on Big Data (IEEE BigData 2020)
Sambaran Bandyopadhyay, Saley Vishal Vivek and Narasimha Murty: Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description, ECAI 2020
Sambaran Bandyopadhyay, Anirban Biswas, Harsh Kara and Narasimha Murty Musti: A Multilayered Informative Random Walk for Attributed Social Network Embedding, ECAI 2020
Sambaran Bandyopadhyay, N. Lokesh, Saley Vishal Vivek, M. Narasimha Murty: Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding, WSDM 2020
Sambaran Bandyopadhyay, N. Lokesh, M. Narasimha Murty: Outlier Aware Network Embedding for Attributed Networks. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 12-19. AAAI 2019.
Sambaran Bandyopadhyay, Ramasuri Narayanam, M N Murty: A Generic Axiomatic Characterization for Measuring Influence in Social Networks, The 24th International Conference on Pattern Recognition (ICPR), 2018, Beijing, China
Sambaran Bandyopadhyay, Sharad Nandanwar, Rishabh Deshmukh, M N Murty: DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups, The 24th International Conference on Pattern Recognition (ICPR), 2018, Beijing, China
Saurav Kumar, Sambaran Bandyopadhyay, Pratyush Kumar, and Vijay Arya: Algorithm to Control Power Production from Solar Panels, In Proc. of the Eighth International Conference on Future Energy Systems (e-Energy), ACM, 2017, Hong Kong
Sambaran Bandyopadhyay, M Narasimha Murty: Axioms to Characterize Efficient Incremental Clustering, The 23rd International Conference on Pattern Recognition (ICPR), 2016, Cancun, Mexico
Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya: Planning Curtailment of Renewable Generation in Power Grids, The 26th International Conference on Automated Planning and Scheduling (ICAPS), 2016, London, UK
Anamitra R Choudhury, Ramachandra Kota, Sampath Dechu, Sambaran Bandyopadhyay: Supply Scheduling and Usage-Based Pricing for Shared Storage in Adaptive Dynamic Islanding, ACM e-Energy 2016, Waterloo, Canada
Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali Ramchurn (Gopal), Vijay Arya, Iskandar Petra: An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016
Sambaran Bandyopadhyay, Ramachandra Kota, Rajendu Mitra, Vijay Arya, Brian Sullivan, Richard Mueller, and Heather Storey, Gerard Labut: Machine Learning for Inferring Phase Connectivity in Distribution Networks, IEEE SmartGridComm, 2015, Miami, FL
Sambaran Bandyopadhyay, Ramasuri Narayanam, Ramachandra Kota, Iskandarbin Pg Hj Petra, and Zainul M Charbiwala: Aggregate Demand-Based Real-Time Pricing Mechanism for the Smart Grid: A Game-Theoretic Analysis, Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015, Buenos Aires, Argentina
Rajendu Mitra, Ramachandra Kota, Sambaran Bandyopadhyay, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut: Voltage Correlations in Smart Meter Data, 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015, Hilton, Sydney
Sambaran Bandyopadhyay, Tanuja Ganu, Harshad Khadilkar, and Vijay Arya: Individual and Aggregate Electrical Load Forecasting: One for All and All for One, ACM e-Energy 2015, Bangalore, India
Sambaran Bandyopadhyay, Ruchira Naskar, and Rajat Subhra Chakraborty: Reversible Watermarking Using Priority Embedding through Repeated Application of Integer Wavelet Transform, International Conference on Security Aspects in Information Technology, High-performance Computing and Networking (InfoSecHiComNet), 2011. Published in Lecture Notes in Computer Science, vol. 7011, pp. 45-56, 2011.