Shubhangi Agarwal

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I am a researcher with an interest in Data Mining, Graphs, Artificial Intelligence and Databases. Currently, I am working on ‘BharatGPT: A Suite of Generative AI Tech for India’ in collboration with BharatGen, IIT Kanpur.

I did my post-doctoral research with Prof. Angela Bonifati at the LIRIS lab in University Lyon 1, France. We explored the possibility of a novel hybrid data model that combines the properties of both Property graphs and Time series, for a time-enriched graph representation.

I got my PhD in 2023 from Department of Computer Science, IIT Kanpur, India, where I worked with my supervisor and mentor Prof. Arnab Bhattacharya. My thesis focused on Approximate Subgraph Querying in both deterministic and probabilistic settings, as well as explored node embeddings in graphs based on relative position of the nodes in the graph.




Recent Publications

2026

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    FogCast: Probabilistic Medium Range Fog Forecasting using Global Machine Learning Weather Prediction Model
    Prasad Deshpande, Shubhangi Agarwal, Kritika Bansal, Arnab Bhattacharya, and Shivam Tripathi
    Quarterly Journal of the Royal Meteorological Society, 2026

2025

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    A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
    V S D S Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya, Shubhangi Agarwal, Vishakha Deulgaonkar, Chaitali Dangarikar, Pralay Manna, and Arnab Bhattacharya
    In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Jul 2025
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    Towards Hybrid Graphs: Unifying Property Graphs and Time series
    Mouna Ammar, Christopher Rost, Riccardo Tommasini, Shubhangi Agarwal, Angela Bonifati, Petra Selmer, E Kharmlamov, and Erhard Rahm
    In 28th International Conference on Extending Database Technology (EDBT), Mar 2025
  3. hygraph/hygraph_tgd_preview.jpg
    Transforming Time Series into Graphs and Back with HyGraph
    Mouna Ammar, Shubhangi Agarwal, Angela Bonifati, and Erhard Rahm
    In CEUR online proceedings of 1st International Workshop on Transforming Graph Data (TGD), EDBT, Mar 2025