Single-cell spatial proteomics (SP) can reveal protein expression patterns while preserving the spatial structure of tissues, providing valuable insights into cellular functions and disease mechanisms. SP data clustering is a fundamental step in such studies, but it remains in the preliminary exploration phase, facing...
Ben-Yu Wu, Shangzhi Zhang, Yue-Qun Wang et al.· Proceedings of the 32nd ACM...· 0 citations
Deep graph clustering (DGC) aims to partition graph nodes into distinct clusters in an unsupervised manner. Despite rapid advancements in this field, DGC remains inherently challenging due to the absence of ground-truth, which complicates the design of effective algorithms and impedes the establishment of standardized...
Ben-Yu Wu, Yue Liu, Qiaoyu Tan et al.· Neural Information Processin...· 4 citations
It is theoretically show that latent causal components and their causal relationships can be identified up to permutation equivalence by modeling synchronous sparsity in the mapping between latent components and observed variables.
Dezhi Yang, Jun Wang, C. Domeniconi et al.· Proceedings of the 32nd ACM...· 0 citations
This work introduces Evolutionary Rule Abstraction to distill generalized logic from optimization trajectories, overcoming the opacity of traditional evolution, and designs a Counterfactual Validation Module to strictly verify the causal reliability of abstracted rules.
Zhongyu Xing, Hanwen Luo, Maozu Guo et al.· Proceedings of the 32nd ACM...· 0 citations
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