@misc{indiciae03cc5f85eb50,
  title = {Analyzing Graph Attention Network latent representations to uncover insights in temporal link prediction},
  author = {Simpson, Sarah Elizabeth [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000166869911) and Doyle, Casey Lane [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000208854954) and Campos, Marco Vinicio [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000166754671) and Xi, Michael [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000154395111) and Sweitzer, Matthew Donald [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000220756177) and Krofcheck, Daniel Joseph [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000155497542)},
  year = {2025},
  doi = {10.2172/3378036},
  url = {https://www.osti.gov/biblio/3378036},
  note = {Source identifier: 3378036}
}