17 papers
Opinion Polarization in LLM-Based Social Networks: Manipulation and Mitigation
Ali Safarpoor Dehkordi, Mohammad Shirzadi, Ahad N. Zehmakan
How vulnerable are online social networks to adversaries who seek to amplify opinion polarization by manipulating opinions, and how difficult is it to mitigate such manipulation? E…
Efficient Edge Rewiring Strategies for Enhancing PageRank Fairness
Changan Liu, Haoxin Sun, Ahad N. Zehmakan +1
We study the notion of unfairness in social networks, where a group such as females in a male-dominated industry are disadvantaged in access to important information, e.g. job post…
Promoting Fairness in Information Access within Social Networks
Changan Liu, Xiaotian Zhou, Ahad N. Zehmakan +1
The advent of online social networks has facilitated fast and wide spread of information. However, some users, especially members of minority groups, may be less likely to receive…
Quantifying and Minimizing Perception Gap in Social Networks
Hemant Kumar Gehlot, Mohammad Shirzadi, Junhao Gan +1
Social media has transformed global communication, yet its network structure can systematically distort perceptions through effects like the majority illusion and echo chambers. We…
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
Asela Hevapathige, Asiri Wijesinghe, Ahad N. Zehmakan
Graph Neural Networks (GNNs) have achieved significant success in addressing node classification tasks. However, the effectiveness of traditional GNNs degrades on heterophilic grap…
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Mohammad Shirzadi, Ali Safarpoor Dehkordi, Ahad N. Zehmakan
Message passing is the core operation in graph neural networks, where each node updates its embeddings by aggregating information from its neighbors. However, in deep architectures…