Ekta Gujral

Orcid: 0000-0001-7255-3374

According to our database1, Ekta Gujral authored at least 21 papers between 2018 and 2024.

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Bibliography

2024
PAE: LLM-based Product Attribute Extraction for E-Commerce Fashion Trends.
CoRR, 2024

2022
Adaptive granularity in tensors: A quest for interpretable structure.
Frontiers Big Data, 2022

Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition.
CoRR, 2022

Aptera: Automatic PARAFAC2 Tensor Analysis.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition.
PhD thesis, 2021

NED: Niche Detection in User Content Consumption Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Mining Bursty Groups from Interaction Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
t-PINE: tensor-based predictable and interpretable node embeddings.
Soc. Netw. Anal. Min., 2020

Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

C<sup>3</sup> APTION: Constrainted Coupled CP and PARAFAC2 Tensor Decomposition.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

C<sup>3</sup> APTION: Constraint Coupled CP And PARAFAC2 Tensor Decompostion.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Hacd: Hierarchical Agglomerative Community Detection In Social Networks.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

OCTEN: Online Compression-Based Tensor Decomposition.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
SamBaTen: Sampling-based Batch Incremental Tensor Decomposition.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

SMACD: Semi-supervised Multi-Aspect Community Detection.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

LARC: Learning Activity-Regularized Overlapping Communities Across Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

t-PNE: Tensor-Based Predictable Node Embeddings.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018


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