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Yanchun Liang

2 accepted papers

2023

Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics

AAAI 2023technical

Cell clustering is a critical step in analyzing single-cell RNA sequencing (scRNA-seq) data, which allows us to characterize the cellular heterogeneity of transcriptional profiling at the single-cell level. Single-cell deep embedded representation models have recently become popular since they can l…

Cited by 5SourcePDFScholar
2021

Deep Attention Diffusion Graph Neural Networks for Text Classification

EMNLP 2021main

Text classification is a fundamental task with broad applications in natural language processing. Recently, graph neural networks (GNNs) have attracted much attention due to their powerful representation ability. However, most existing methods for text classification based on GNNs consider only one-…

Cited by 77SourcePDFScholar