20 citations · 20 across the 7 of their papers we have counts for
5 papers · 1 filter
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels
Rishi Raj Sahoo, Rucha Bhalchandra Joshi, Subhankar Mishra
Graph Neural Networks (GNNs) achieve high performance across many applications but function as black-box models, limiting their use in critical domains like healthcare and criminal…
Graph Neural Networks at a Fraction
Rucha Bhalchandra Joshi, Sagar Prakash Barad, Nidhi Tiwari +1
Graph Neural Networks (GNNs) have emerged as powerful tools for learning representations of graph-structured data. In addition to real-valued GNNs, quaternion GNNs also perform wel…
eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph Neural Networks
Rucha Bhalchandra Joshi, Annada Prasad Behera, Subhankar Mishra
Building Information Modeling has been used to analyze as well as increase the energy efficiency of the buildings. It has shown significant promise in existing buildings by deconst…
GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation
Edward Elson Kosasih, Rucha Bhalchandra Joshi, Janamejaya Channegowda
Lithium-ion batteries are powering the ongoing transportation electrification revolution. Lithium-ion batteries possess higher energy density and favourable electrochemical propert…
Learning Graph Representations
Rucha Bhalchandra Joshi, Subhankar Mishra
Social and information networks are gaining huge popularity recently due to their various applications. Knowledge representation through graphs in the form of nodes and edges shoul…