Results 51 to 60 of about 287,840 (285)
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
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
On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation
, 2018 Graph embedding has been proven to be efficient and effective in facilitating graph analysis. In this paper, we present a novel spectral framework called NOn-Backtracking Embedding (NOBE), which offers a new perspective that organizes graph data at a ...
He, Lifang +5 more
core +1 more source
Molecular Oncology, EarlyView.Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
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
-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
doaj +1 more source
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
doaj +1 more source
Frontiers in Genetics, 2021 Protein–protein interaction (PPI) is the basis of the whole molecular mechanisms of living cells. Although traditional experiments are able to detect PPIs accurately, they often encounter high cost and require more time.
Xiao-Rui Su +15 more
doaj +1 more source
Neural Graph Collaborative Filtering
, 2019 Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged deep learning based methods, existing efforts typically obtain a user's (or ...
Chua, Tat-Seng +4 more
core +1 more source