2 citations · 7 across the 6 of their papers we have counts for
6 papers
Narrating Causal Graphs with Large Language Models
Atharva Phatak, Vijay K. Mago, Ameeta Agrawal +2
The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability…
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health
Chandreen Liyanage, Muskan Garg, Vijay Mago +1
Amid ongoing health crisis, there is a growing necessity to discern possible signs of Wellness Dimensions (WD) manifested in self-narrated text. As the distribution of WD on social…
Towards FATE in AI for Social Media and Healthcare: A Systematic Review
Aditya Singhal, Hasnaat Tanveer, Vijay Mago
As artificial intelligence (AI) systems become more prevalent, ensuring fairness in their design becomes increasingly important. This survey focuses on the subdomains of social med…
An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts
Muskan Garg, Amirmohammad Shahbandegan, Amrit Chadha +1
With a surge in identifying suicidal risk and its severity in social media posts, we argue that a more consequential and explainable research is required for optimal impact on clin…
NODDLE: Node2vec based deep learning model for link prediction
Kazi Zainab Khanam, Aditya Singhal, Vijay Mago
Computing the probability of an edge's existence in a graph network is known as link prediction. While traditional methods calculate the similarity between two given nodes in a sta…
An Influence Diagram-Based Approach for Estimating Staff Training in Software Industry
Kawal Jeet, Vijay Kumar Mago, Bhanu Prasad +1
The successful completion of a software development process depends on the analytical capability and foresightedness of the project manager. For the project manager, the main intri…