graph fusionsample weightauto-weight learningIncomplete multi-view clustering (IMC) has received considerable attention due to its flexibility in fusing the multi-view information when the view samples are partly missing. However, existing methods seldom consider the affection of the missing samples to ...
Run your own graph functions on the GPU by building the function programmatically. Adjusting the level of detail using Metal mesh shaders Choose and render meshes with several levels of detail using object and mesh shaders. Animating and Denoising a Raytraced Scene Support dynamic scenes and denoi...
Besides clustering, the reduction of sample size has a number of applications. A typical example is to divide a set of available samples into design and test sets. In this case, we must assure that design and test distributions are similar. Nonparametric Data Reduction Generally, it is not ...
Additionally, vector databases find applications in fraud detection, anomaly detection, and clustering. By comparing vector embeddings of data points, unusual patterns can be detected, and similar items can be grouped together, aiding in effective data analysis and decision-making....
Single-cell analysis across multiple samples and conditions requires quantitative modeling of the interplay between the continuum of cell states and the technical and biological sources of sample-to-sample variability. We introduce GEDI, a generative mod
The recent emergence of multi-sample multi-condition single-cell multi-cohort studies allows researchers to investigate different cell states. The effective integration of multiple large-cohort studies promises biological insights into cells under differ
Stress significantly impacts individuals, particularly in professions like nursing and driving, leading to severe health risks and accidents. Accurate stre
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Mitchell-xiyunfeng/HSAN
Single cell RNA-seq has revolutionized transcriptomics by providing cell type resolution for differential gene expression and expression quantitative trait loci (eQTL) analyses. However, efficient power analysis methods for single cell data and inter-ind
An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering, accepted by AAAI 2023. Any communications or issues are welcomed. Please contact yueliu19990731@163.com. If you find this repository useful to your research or work, it is really appreciate to ...