SpaDAR
Published: 11 June 2026| Version 1 | DOI: 10.17632/h55rw33znx.1
Contributors:
, , , , , , Description
We propose SpaDAR, a direction-aware self-supervised graph learning framework for spatial domain identification and multi-slice integration. Alternatively, you can obtain the source code and datasets via the following two links: Code: https://github.com/shihuaxmut/SpaDAR Datasets: https://huggingface.co/datasets/thechen/SpaDAR/tree/main
Files
Steps to reproduce
Reproduction scripts are available in the Reproduction_Notebook directory. Step-by-step tutorials are provided in the Tutorial_Notebook directory.
Institutions
- Xiamen University of TechnologyFujian, Xiamen
- Universiti Sains MalaysiaPenang, George Town
- University of Electronic Science and Technology of ChinaSichuan, Chengdu
- Macao Polytechnic UniversityMacau, Macao
Categories
Spatial Transcriptomics