@misc{indiciae542011e8f2c6,
  title = {Towards Generalizable and Efficient Circuit Topology Design: A Graph-Transformer-based Surrogate Model with Curriculum Learning},
  author = {Lu, Haoshu [New Jersey Institute of Technology (NJIT), Newark, NJ (United States)] (ORCID:0009000760571832) and Fan, Shaoze [New Jersey Institute of Technology (NJIT), Newark, NJ (United States)] (ORCID:0000000334966076) and Zhang, Shun [MIT-IBM Watson AI Lab, Cambridge, MA (United States)] (ORCID:0000000150466579) and Cao, Ningyuan [University of Notre Dame, IN (United States)] (ORCID:0000000253231051) and Zhang, Xin [IBM Research, Yorktown Heights, NY (United States)] (ORCID:0000000205792268) and Li, Jing [New Jersey Institute of Technology (NJIT), Newark, NJ (United States)] (ORCID:0000000268657290)},
  year = {2026},
  doi = {10.1145/3768167},
  url = {https://www.osti.gov/biblio/3023663},
  note = {Source identifier: 3023663}
}