21 citations · 37 across the 4 of their papers we have counts for
4 papers
Position: Graph Foundation Models are Already Here
Haitao Mao, Zhikai Chen, Wenzhuo Tang +6
Graph Foundation Models (GFMs) are emerging as a significant research topic in the graph domain, aiming to develop graph models trained on extensive and diverse data to enhance the…
Single-Cell Multimodal Prediction via Transformers
Wenzhuo Tang, Hongzhi Wen, Renming Liu +5
The recent development of multimodal single-cell technology has made the possibility of acquiring multiple omics data from individual cells, thereby enabling a deeper understanding…
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
Hongzhi Wen, Wenzhuo Tang, Wei Jin +7
Spatially resolved transcriptomics brings exciting breakthroughs to single-cell analysis by providing physical locations along with gene expression. However, as a cost of the extre…
Deep Learning in Single-Cell Analysis
Dylan Molho, Jiayuan Ding, Zhaoheng Li +12
Single-cell technologies are revolutionizing the entire field of biology. The large volumes of data generated by single-cell technologies are high-dimensional, sparse, heterogeneou…