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Nitesh V. Chawla

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#graph neural networks Open access Nov 2026

Modeling Edge-Rich Graphs Using Neural Networks

The state of the art in graph analytics has advanced rapidly in recent years. Much of this advancement, to account for heterogeneous and dynamic networks, has been on graphs with rich node-level information such as those found on the Internet, social media, or in relational databases. Conversely, edge-rich graphs, wher...

Shao-Shuai Li, John P. Lalor, Faizan Ahmad et al. · 0 citations
Open access Jul 2026

Measuring polarization in epistemic social networks: The case of the US 2024 presidential elections

Abstract This paper advances a methodological framework for the study of policy polarization. We conceptualize polarization as the structure of relationships among political and epistemic actors, measurable through the similarity of their policy statements. To generate these relational data, large language models (LLMs...

Dmitry G. Zaytsev, V. Kuskova, Gregory S. Khvatsky et al. · 0 citations

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