9 citations · 16 across the 4 of their papers we have counts for
6 papers
Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction
Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu +4
Continuous monitoring of the spatio-temporal dynamic behavior of critical infrastructure networks, such as the power systems, is a challenging but important task. In particular, ac…
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes
Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal +2
Malicious activities on measurements from sensors like Phasor Measurement Units (PMUs) can mislead the control center operator into taking wrong control actions resulting in disrup…
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki +3
Representation learning methods that transform encoded data (e.g., diagnosis and drug codes) into continuous vector spaces (i.e., vector embeddings) are critical for the applicatio…
NOUS: Construction and Querying of Dynamic Knowledge Graphs
Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit +4
The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability. Despite their value, automate…
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan +4
Link prediction, or predicting the likelihood of a link in a knowledge graph based on its existing state is a key research task. It differs from a traditional link prediction task…
A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs
Sutanay Choudhury, Lawrence Holder, George Chin +2
Cyber security is one of the most significant technical challenges in current times. Detecting adversarial activities, prevention of theft of intellectual properties and customer d…