Results 71 to 80 of about 845,204 (303)
An Attribute Graph Embedding Algorithm for Sensing Topological and Attribute Influence
MathematicsThe unsupervised attribute graph embedding technique aims to learn low-dimensional node embedding using neighborhood topology and attribute information under unlabeled data.
Dongming Chen +4 more
doaj +1 more source
Ensemble graph auto-encoders for clustering and link prediction [PDF]
PeerJ Computer ScienceGraph auto-encoders are a crucial research area within graph neural networks, commonly employed for generating graph embeddings while minimizing errors in unsupervised learning.
Chengxin Xie +5 more
doaj +2 more sources
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
Adversarially regularized graph autoencoder for graph embedding
, 2018 © 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics.
Jiang, Jing +17 more
core +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Graph Embedding Using Constant Shift Embedding
, 2010 The original publication is available at www.springerlink.comIn the literature, although structural representations (e.g. graph) are more powerful than feature vectors in terms of representational abilities, many robust and efficient methods for ...
Jouili, Salim, Tabbone, Salvatore
core +5 more sources
-shaped point set embeddings of high-degree plane graphs
AKCE International Journal of Graphs and Combinatorics, 2020 A point set embedding of a given plane graph on a given point set on a plane is a drawing of where each vertex is drawn on a point in . An orthogonal point set embedding of a plane graph is a point set embedding of such that each edge is drawn as a ...
Shaheena Sultana, Md. Saidur Rahman
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Adversarial Attention-Based Variational Graph Autoencoder
IEEE Access, 2020 Autoencoders have been successfully used for graph embedding, and many variants have been proven to effectively express graph data and conduct graph analysis in low-dimensional space.
Ziqiang Weng, Weiyu Zhang, Wei Dou
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Merit: multi-level graph embedding refinement framework for large-scale graph
Complex & Intelligent Systems, 2023 The development of the Internet and big data has led to the emergence of graphs as an important data representation structure in various real-world scenarios.
Weishuai Che +3 more
doaj +1 more source
Knowledge Graph Embedding by Dynamic Translation
, 2017 Knowledge graph embedding aims at representing entities and relations in a knowledge graph as dense, low-dimensional and real-valued vectors. It can efficiently measure semantic correlations of entities and relations in knowledge graphs, and improve the ...
Tianlong Gu +11 more
core +1 more source