Spatial omics (SO) technologies enable spatially resolved molecular profiling, while hematoxylin and eosin (H&E) imaging remains the gold standard for morphological assessment in clinical pathology. Recent computational advances increasingly place H&E images at the center of SO analysis, bridging morphology with transc...
Ning-Hui Hao, Bo-Shen Yan, Dong Li et al.· Proceedings of the 32nd ACM...· 0 citations
Results show that the MatterSim-D3-based workflow closely reproduces DFT-PBE-D3 optimized structures, while BDIP-Net consistently outperforms existing graph neural network and potential-based approaches for bilayer property prediction.
A message extrapolation mechanism under soft uncertainty constraints is proposed to obtain the diverse counterfactual message distributions and a novel robust representation learning framework for dynamic graph domain generalization, LEMD is proposed.
Xiao-Ran Wei, Chen Zhao, Minglai Shao et al.· Proceedings of the Thirty-Fi...· 0 citations
This lecture-style tutorial surveys the algorithmic foundations and recent advances in method development that make them practical and impactful for precision medicine, and outlines opportunities for the KDD community to contribute principled data mining and learning approaches to multimodal spatial biology.
Ninghui Hao, Boshen Yan, Dong Li et al.· Proceedings of the 32nd ACM...· 0 citations
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