An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
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Updated
Aug 14, 2022 - Python
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
[WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"
Pytorch implementation of Polarized message-passing graph neural networks published in Artificial Intelligence, 2024.
This is the basis for my work analyzing and correcting for political homophily within social networks against Conover et al's dataset. This work was part of a grad school term project that is now being maintained externally by another student in pursuit of journal poublication.
this tool gives you information about your own networks
code for 2016 MCM problem D. Research about how information flows in networks based on different social or mass medias.
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