7 citations · 20 across the 32 of their papers we have counts for
45 papers
Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks
Asela Hevapathige, Ahad N. Zehmakan, Asiri Wijesinghe +1
Oversmoothing is a well-known failure mode of Graph Neural Networks (GNNs). However, most existing diagnostics rely on global aggregation measures that fail to capture the heteroge…
JECHO: Scalable Echo Chamber Detection via Jaccard-based Homophily and Seed Expansion
Ali Safarpoor Dehkordi, Atsushi Miyauchi, Francesco Bonchi +1
Detecting echo chambers is critical for understanding and limiting negative social phenomena, such as online polarization, misinformation, and conspiracy theory diffusion. However,…
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…
Invariant-Stratified Propagation for Expressive Graph Neural Networks
Asela Hevapathige, Ahad N. Zehmakan, Asiri Wijesinghe +1
Graph Neural Networks (GNNs) face fundamental limitations in expressivity and capturing structural heterogeneity. Standard message-passing architectures are constrained by the 1-di…
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…