Abstract: Negative sampling is an essential part in knowledge graph embedding, which offers significant advantages to numerous downstream related tasks. There are two kinds of important negatives: ...
Abstract: Data clustering, which aims to divide the given samples into several different groups, has drawn much attention in recent years. As a powerful tool, non-negative matrix factorization (NMF) ...
This repository hosts the full reproducible pipeline for our study “Graph Attention Network-Based Multi-Omics Data Integration for Precise Key Gene Prediction in Triple-Negative Breast Cancer (TNBC)”.
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