10 citations · 16 across the 8 of their papers we have counts for
8 papers
Towards Metric-Faithful Neural Graph Matching
Jyotirmaya Shivottam, Subhankar Mishra
Graph Edit Distance (GED) is a fundamental, albeit NP-hard, metric for structural graph similarity. Recent neural graph matching architectures approximate GED by first encoding gra…
Graph Reconstruction from Differentially Private GNN Explanations
Rishi Raj Sahoo, Jyotirmaya Shivottam, Subhankar Mishra
Regulatory frameworks such as GDPR increasingly require that ML predictions be accompanied by post-hoc explanations, even when raw data and trained models cannot be released. Diffe…
QGShap: Quantum Acceleration for Faithful GNN Explanations
Haribandhu Jena, Jyotirmaya Shivottam, Subhankar Mishra
Graph Neural Networks (GNNs) have become indispensable in critical domains such as drug discovery, social network analysis, and recommendation systems, yet their black-box nature h…
QGraphLIME - Explaining Quantum Graph Neural Networks
Haribandhu Jena, Jyotirmaya Shivottam, Subhankar Mishra
Quantum graph neural networks offer a powerful paradigm for learning on graph-structured data, yet their explainability is complicated by measurement-induced stochasticity and the…
Tirtha -- An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites
Jyotirmaya Shivottam, Subhankar Mishra
Digital preservation of Cultural Heritage (CH) sites is crucial to protect them against damage from natural disasters or human activities. Creating 3D models of CH sites has become…
Deviation from the First Law of Thermodynamics for Particle-like Quantum Kerr-de Sitter Black Holes
Dripto Biswas, Jyotirmaya Shivottam
The goal of this paper is to extend the particle-like quantization scheme presented in Pacheco and Silk (2020), to extremal Kerr-de Sitter black holes in four spacetime dimensions,…