246 citations · 290 across the 6 of their papers we have counts for
7 papers
Predicting Information Pathways Across Online Communities
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma +4
The problem of community-level information pathway prediction (CLIPP) aims at predicting the transmission trajectory of content across online communities. A successful solution to…
A Survey on Explainability of Graph Neural Networks
Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma +2
Graph neural networks (GNNs) are powerful graph-based deep-learning models that have gained significant attention and demonstrated remarkable performance in various domains, includ…
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
Harsh Rangwani, Lavish Bansal, Kartik Sharma +3
StyleGANs are at the forefront of controllable image generation as they produce a latent space that is semantically disentangled, making it suitable for image editing and manipulat…
A Survey of Graph Neural Networks for Social Recommender Systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi +4
Social recommender systems (SocialRS) simultaneously leverage the user-to-item interactions as well as the user-to-user social relations for the task of generating item recommendat…
Representation Learning in Continuous-Time Dynamic Signed Networks
Kartik Sharma, Mohit Raghavendra, Yeon Chang Lee +2
Signed networks allow us to model conflicting relationships and interactions, such as friend/enemy and support/oppose. These signed interactions happen in real-time. Modeling such…
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma, Samidha Verma, Sourav Medya +2
Adversarial attacks on Graph Neural Networks (GNNs) reveal their security vulnerabilities, limiting their adoption in safety-critical applications. However, existing attack strateg…
Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya +2
In signed networks, each edge is labeled as either positive or negative. The edge sign captures the polarity of a relationship. Balance of signed networks is a well-studied propert…