Results 141 to 150 of about 30,563 (303)
Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference
Entity alignment associates entities in different knowledge graphs if they are semantically same, and has been successfully used in the knowledge graph construction and connection.
Shichao Pei +7 more
core +1 more source
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure
Graph embedding has shown its effectiveness to represent graph information and capture deep relationships in graph data. Most recent graph embedding methods focus on attributed graphs, since they preserve both structure and content information in the ...
Jiang, Jing +11 more
core +1 more source
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
Towards leveraging explicit negative statements in knowledge graph embeddings
Knowledge Graphs are used in various domains to represent knowledge about entities and their relations. In the vast majority of cases, they capture what is known to be true about those entities, i.e., positive statements, while the Open World Assumption ...
Rita T. Sousa +2 more
doaj +1 more source
TRMT6‐mediated m1A modification in CDK9 mRNA enhances its mRNA stability and translation efficiency, thereby increasing the protein levels of CDK9. Upregulated CDK9 promotes the progression of HCC by elevating the levels of oncogenic factors including p‐STAT3, MCL1, and BCL‐2. On the other hand, CDK9 phosphorylates TARDBP at Ser254 to activate HBV core
Rui Zhang +12 more
wiley +1 more source
Marie and BERT-A Knowledge Graph Embedding Based Question Answering System for Chemistry. [PDF]
Zhou X +5 more
europepmc +1 more source
Weighted Knowledge Graph Embedding
Zhao Zhang 0011 +6 more
openaire +1 more source
SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back [PDF]
Geometric knowledge graph embedding models (gKGEs) have shown great potential for knowledge graph completion (KGC), i.e., automatically predicting missing triples.
Sallinger, Emanuel +1 more
core +1 more source
Icariin promoted the growth of Akk by enhancing the activity of N‐acetylgalactosaminidase (Amuc_0920), which enhanced mucin utilization and provided a favorable nutrient environment for bacterial growth. This icariin‐mediated enrichment of Akk further reshaped the tumor microenvironment and promoted CD8+ T cell infiltration, ultimately synergizing with
Shuangying Qiao +12 more
wiley +1 more source
Assessing the effects of hyperparameters on knowledge graph embedding quality. [PDF]
Lloyd O, Liu Y, R Gaunt T.
europepmc +1 more source

