1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2025
Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
Aravinda Jatavallabha, Prabhanjan Bharadwaj, Ashish Chander
Graph Neural Networks (GNNs) are powerful tools for recommendation systems, but they often struggle under data sparsity and noise. To address these issues, we implemented LightGCL,…
cs.CY2024★ 1 cited
Tesla's Autopilot: Ethics and Tragedy
Aravinda Jatavallabha
This case study delves into the ethical ramifications of an incident involving Tesla's Autopilot, emphasizing Tesla Motors' moral responsibility. Using a seven-step ethical decisio…
cs.LG2024
Deciphering Air Travel Disruptions: A Machine Learning Approach
Aravinda Jatavallabha, Jacob Gerlach, Aadithya Naresh
This research investigates flight delay trends by examining factors such as departure time, airline, and airport. It employs regression machine learning methods to predict the cont…