MISN Lab

Recent Updates

● Our paper "A Unified Optimization-Based Framework for Certifiably Robust and Fair Graph Neural Networks" got accepted to [IEEE Transactions on Signal Processing] .Congratulations to Vipul Kumar.
● Our paper "CoRE-BOLD: Cross-Domain Robust and Equitable for BOLD Signal Analysis" got accepted to [ML4H] .Congratulations to Vipul Kumar and Jyotismita Barman.
● Congratulations to Manoj Kumar on Successfully Defending His PhD. [Photo].
● Our paper "PPDA: A Privacy Preserving Framework for Distributed Graph Learning" got accepted to [ICONIP'2024] .Congratulations to Nikita Malik.
● Our paper "UGC: Universal Graph Coarsening" got accepted to [NeurIPS24] .Congratulations to Mohit Kataria.
● Our paper "Optimization Framework for Semi-supervised Attributed Graph Coarsening " got accepted to [UAI2024.one] .Congratulations to Manoj and Subhanu.
● Our paper "No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation " got accepted to AAAI 2024.Congratulations to Nimesh and Anuj for their great efforts
● Our Paper " Linear Complexity Framework for Feature-Aware Graph Coarsening via Hashing" ,got accepted to NeurIPS Workshop in Frontiers in Graph Learning. Congratulations to Mohit, Aditi, and Rocktim.
● Congratulations to Hemanthika and Subhanu for receiving the prestigious PMRF doctoral fellowship.
● Our Paper "Graph of Circuits with GNN for Exploring the Optimal Design Space" got accepted to [NeurIPS 2023], Congratulations to Aditya, Sapna, and Ankesh!
● Congratulations to Jyotismita for receiving the prestigious TCS doctoral fellowship.
● Our Paper "Featured Graph Coarsening with Similarity Guarantees" got accepted to [ICML 2023], Congratulations to Manoj, Anurag, and Shaswat!

● Congratulations to Raghav on his work "Decodability of Eigenspace of EEG Graph for Motor Imagery Task" to the Organization for Human Brain Mapping (OHBM 2023) in a poster session.

● Congratulations to Aditya on his work "Graph Machine Learning assisted Analog Circuit Designing" being accepted to the Design Automation Conference (DAC 2023) in the work-in-progress category.

● Our Paper "A Unified Framework for Optimization-Based Graph Coarsening" got accepted to the Journal of Machine Learning (JMLR 2023) Congratulations to Manoj and Anurag [paper].

● Congratulations to Vipul and Nikita for receiving the prestigious Prime Minister Research Fellowship (PMRF).

● Congratulations to Aditi and Rocktim for winning the best B.Tech Thesis award. They worked on developing a feature-aware graph coarsening algorithm for scaling graph machine learning.

● Congratulations to Bharat and Vivek for getting the best student paper award at theIEEE SPCOMM conference. [Photo]..

● Invited discussion on E-Passport challenges and possibilities, aired on Doordarshan DD Urdu. Watch the full episode at [Ye Hai India ].