185 citations · 204 across the 12 of their papers we have counts for
17 papers
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities
Shalini Pandey, Jaideep Srivastava
Many machine learning models have been built to tackle information overload issues on Massive Open Online Courses (MOOC) platforms. These models rely on learning powerful represent…
IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
Shalini Pandey, George Karypis, Jaideep Srivasatava
Recommending relevant items to users is a crucial task on online communities such as Reddit and Twitter. For recommendation system, representation learning presents a powerful tech…
SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction
Bhavtosh Rath, Xavier Morales, Jaideep Srivastava
False information and true information fact checking it, often co-exist in social networks, each competing to influence people in their spread paths. An efficient strategy here to…
Assessing Individual and Community Vulnerability to Fake News in Social Networks
Bhavtosh Rath, Wei Gao, Jaideep Srivastava
The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false i…
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
Shalini Pandey, George Karypis, Jaideep Srivastava
Knowledge tracing (KT) is the problem of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. It is an active resear…
Learning Student Interest Trajectory for MOOCThread Recommendation
Shalini Pandey, Andrew Lan, George Karypis +1
In recent years, Massive Open Online Courses (MOOCs) have witnessed immense growth in popularity. Now, due to the recent Covid19 pandemic situation, it is important to push the lim…