Sambaran Bandyopadhyay
Cited by
Cited by
Outlier aware network embedding for attributed networks
S Bandyopadhyay, N Lokesh, MN Murty
Proceedings of the AAAI conference on artificial intelligence 33 (01), 12-19, 2019
Outlier resistant unsupervised deep architectures for attributed network embedding
S Bandyopadhyay, L N, SV Vivek, MN Murty
Proceedings of the 13th international conference on web search and data …, 2020
Data quality for machine learning tasks
N Gupta, S Mujumdar, H Patel, S Masuda, N Panwar, S Bandyopadhyay, ...
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Graph neural network to dilute outliers for refactoring monolith application
U Desai, S Bandyopadhyay, S Tamilselvam
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 72-80, 2021
Shopping queries dataset: a large-scale ESCI benchmark for improving product search.(2022)
CK Reddy, L Màrquez, F Valero, N Rao, H Zaragoza, S Bandyopadhyay, ...
arXiv preprint arXiv:2206.06588, 2022
Voltage correlations in smart meter data
R Mitra, R Kota, S Bandyopadhyay, V Arya, B Sullivan, R Mueller, ...
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Individual and aggregate electrical load forecasting: One for all and all for one
S Bandyopadhyay, T Ganu, H Khadilkar, V Arya
Proceedings of the 2015 ACM Sixth International Conference on Future Energy …, 2015
Hypergraph attention isomorphism network by learning line graph expansion
S Bandyopadhyay, K Das, MN Murty
2020 IEEE International Conference on Big Data (Big Data), 669-678, 2020
Prevalence of brain injuries and recurrence of seizures in children with posttraumatic seizures
MK Badawy, PS Dayan, MG Tunik, FM Nadel, KA Lillis, M Miskin, ...
Academic emergency medicine 24 (5), 595-605, 2017
Fscnmf: Fusing structure and content via non-negative matrix factorization for embedding information networks
S Bandyopadhyay, H Kara, A Kannan, MN Murty
arXiv preprint arXiv:1804.05313, 2018
Beyond node embedding: a direct unsupervised edge representation framework for homogeneous networks
S Bandyopadhyay, A Biswas, MN Murty, R Narayanam
arXiv preprint arXiv:1912.05140, 2019
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network.
A Mathai, S Bandyopadhyay, U Desai, S Tamilselvam
IJCAI, 3905-3911, 2022
A multilayered informative random walk for attributed social network embedding
S Bandyopadhyay, A Biswas, H Kara, MN Murty
ECAI 2020, 1738-1745, 2020
Gender differences in climate change perception and adaptation strategies: the case of three provinces in Vietnam’s Mekong River Delta
J McKinley, C Adaro, V Pede, P Rutsaert, T Setiyono, CT Thanh, ...
CCAFS Report, 2016
Dynamic structure learning through graph neural network for forecasting soil moisture in precision agriculture
A Vyas, S Bandyopadhyay
International Joint Conference on Artificial Intelligence, 2022
Unsupervised constrained community detection via self-expressive graph neural network
S Bandyopadhyay, V Peter
Uncertainty in Artificial Intelligence, 1078-1088, 2021
Planning curtailment of renewable generation in power grids
S Bandyopadhyay, P Kumar, V Arya
Proceedings of the International Conference on Automated Planning and …, 2016
A generic axiomatic characterization for measuring influence in social networks
S Bandyopadhyay, R Narayanam, MN Murty
2018 24th international conference on pattern recognition (icpr), 2606-2611, 2018
A machine learning based heating and cooling load forecasting approach for DHC networks
S Bandyopadhyay, J Hazra, S Kalyanaraman
2018 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2018
Activity recognition to confirm secure authentication of a user
S Bandyopadhyay, V Ekambaram, S Sadacharam, APKS Prakash
US Patent 10,169,562, 2019
The system can't perform the operation now. Try again later.
Articles 1–20