Learnt Sparsification for Interpretable Graph Neural Networks. - Mandeep Rathee; Zijian Zhang 006; Thorben Funke; Megha Khosla; Avishek Anand (CoRR, 2021)

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations. - Mandeep Rathee; Thorben Funke; Avishek Anand; Megha Khosla (CoRR, 2022)

Private Graph Extraction via Feature Explanations. - Iyiola E. Olatunji; Mandeep Rathee; Thorben Funke; Megha Khosla (Proc. Priv. Enhancing Technol., 2023)

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. - Thorben Funke; Megha Khosla; Mandeep Rathee; Avishek Anand (IEEE Trans. Knowl. Data Eng., 2023)

Guiding Retrieval Using LLM-Based Listwise Rankers. - Mandeep Rathee; Sean MacAvaney; Avishek Anand (ECIR (1), 2025)

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA. - Venktesh V; Mandeep Rathee; Avishek Anand (NAACL (Long Papers), 2025)

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. - Mandeep Rathee; Venktesh V; Sean MacAvaney; Avishek Anand (SIGIR, 2025)

Quam: Adaptive Retrieval through Query Affinity Modelling. - Mandeep Rathee; Sean MacAvaney; Avishek Anand (WSDM, 2025)