Physics-informed graph learning of collapse distance in complex networks
收藏资源简介:
This record contains the archival release materials for TCR-GIN, including source code, experiment scripts, configuration files, trained model checkpoints, generated results, processed data artifacts, graph splits, figure-related materials, and the Streamlit demonstration application used for the associated manuscript. Related code repository: https://github.com/DistinZhang/TCR-GIN The archive is uploaded as numbered split files. Please download all TCR-GIN-zenodo-v1.0.0.tar.gz.part-* files and extract them with: cat TCR-GIN-zenodo-v1.0.0.tar.gz.part-* | tar -xzf - Source code in TCR-GIN/ is released under the MIT License. Original TCR-GIN-generated archival materials are released under CC BY 4.0 unless otherwise noted. Third-party-derived artifacts may be subject to the conditions described in THIRD_PARTY_SOURCES.md.



