About

Vinti Agarwal is an assistant professor in the Department of Computer Science and Information Systems at BITS Pilani and leads a GRAINS (Graph4AI and Natural Information Processing) research group at BITS Pilani, India. Prior to this, she worked as a postdoctoral researcher at the Norwegian University of Science and Technology (NTNU). She completed Ph.D. in Computer Science from the JawaharLal Nehru University, New Delhi, India and has 7+ years teaching/research experience and has co/supervised 25+ undergraduate, postgraduate and PhD students at NTNU Norway and BITS Pilani. Her research expertise lies in modeling complex data relationships into graphs and using machine learning for predictions or discovering new patterns in data from a variety of sources, such as social networks, drug repurposing, and social determinants of health (SDH). She has published widely in peer- reviewed journals with 10+ peer-reviewed publications and teaches a postgraduate course on graph mining. Complete list of publications can be found here.

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Research Interests

• Graph-aware techniques for efficient model learning (Applications in Natural Language Processing; computer vision)

• Graph embedded supervised/Semi-supervised learning;

• Role of graph learning in LLMs

• Design algorithms or models in limited labelled-data settings; Applications in NLP, image segmentation/classification

• Recommender systems design for networked data

• Use of LLM and Knowledge graphs in multimodal learning (image, text, speech, sensors)

• Multi-relational graphs learning using spectral theory and graph neural networks