Shubhangi Agarwal

I am a researcher with experience in Graph databases and Graph mining. 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.

Selected Publications

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), 2025

DOI BibTex Poster Slides

@inproceedings{ammar2025hygraphVision,
  title = {Towards Hybrid Graphs: Unifying Property Graphs and Time series},
  author = {Ammar, Mouna and Rost, Christopher and Tommasini, Riccardo and Agarwal, Shubhangi and Bonifati, Angela and Selmer, Petra and Kharmlamov, E and Rahm, Erhard},
  booktitle = {28th International Conference on Extending Database Technology (EDBT)},
  year = {2025},
  doi = {10.48786/EDBT.2025.79},
}

Subgrap Matching and Mining in Large Graphs

Shubhangi Agarwal

Nov 2023

Advisor: Prof. Arnab Bhattacharya

BibTex PDF

@phdthesis{agarwal2023smmlg,
  author = {Agarwal, Shubhangi},
  title = {Subgrap Matching and Mining in Large Graphs},
  school = {Indian Institute of Technology Kanpur},
  year = {2023},
  address = {Kanpur, India},
  type = {Ph.D. Thesis},
  month = nov,
  note = {Advisor: Prof. Arnab Bhattacharya},
}

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations

Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, and Sayan Ranu

In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, Aug 2021

Main Track

DOI arXiv BibTex Code Poster Slides

@inproceedings{ijcai2021p211,
  title = {GraphReach: Position-Aware Graph Neural Network using Reachability Estimations},
  author = {Nishad, Sunil and Agarwal, Shubhangi and Bhattacharya, Arnab and Ranu, Sayan},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor = {Zhou, Zhi-Hua},
  pages = {1527--1533},
  year = {2021},
  month = aug,
  note = {Main Track},
  doi = {10.24963/ijcai.2021/211},
}

ChiSeL: Graph similarity search using chi-squared statistics in large probabilistic graphs

Shubhangi Agarwal, Sourav Dutta, and Arnab Bhattacharya

Proceedings of the VLDB Endowment, Aug 2020

DOI BibTex PDF Code Slides

@article{agarwal2020chisel,
  title = {ChiSeL: Graph similarity search using chi-squared statistics in large probabilistic graphs},
  author = {Agarwal, Shubhangi and Dutta, Sourav and Bhattacharya, Arnab},
  journal = {Proceedings of the VLDB Endowment},
  volume = {13},
  number = {10},
  pages = {1654--1668},
  year = {2020},
  publisher = {VLDB Endowment},
  doi = {10.14778/3401960.3401964},
}

Selected Publications

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