Results 91 to 100 of about 140,466 (301)

Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding

Data Science and Engineering, 2019
Network embedding methodologies, which learn a distributed vector representation for each vertex in a network, have attracted considerable interest in recent years.
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan   +3 more
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

EMBEDDINGS INTO THE PANCAKE INTERCONNECTION NETWORK [PDF]

Parallel Processing Letters, 2002
Owing to its nice properties, the pancake is one of the Cayley graphs that were proposed as alternatives to the hypercube for interconnecting processors in parallel computers. In this paper, we present embeddings of rings, grids and hypercubes into the pancake with constant dilation and congestion.
openaire   +4 more sources

Role-oriented network embedding via feature selection and fuzzy clustering

, 2023
LAUREA MAGISTRALEL'analisi di reti è un ampio e rilevante terreno di studio, al centro della ricerca scientifica per l'elevato numero di possibili applicazioni.
De CARO, FRANCESCO
core  

Discrete embedding for attributed graphs

, 2022
Attributed graphs refer to graphs where both node links and node attributes are observable for analysis. Attributed graph embedding enables joint representation learning of node links and node attributes.
Wang, H, Chen, L, Yang, Hong, Wang, Haishuai, Zhang, Peng, Zhang, P, Pan, Shirui, Yang, H, Chen, Ling, Pan, S   +9 more
core   +1 more source

Enhancing Attributed Network Embedding via Similarity Measure

IEEE Access, 2019
Network embedding aims to represent network structural and attributed information with low-dimensional vectors, which has been demonstrated to be beneficial for many network analysis tasks, such as link prediction, node classification and visualization ...
Bin Yu, Yitong Li, Chen Zhang, Ke Pan, Yu Xie   +4 more
doaj   +1 more source

Learning Weight Signed Network Embedding with Graph Neural Networks

Data Science and Engineering, 2023
Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have achieved state-of-the-art performance in learning node representation.
Zekun Lu, Qiancheng Yu, Xia Li, Xiaoning Li, Qinwen Yang   +4 more
doaj   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Scalable Multiplex Network Embedding

, 2018
Network embedding has been proven to be helpful for many real-world problems. In this paper, we present a scalable multiplex network embedding model to represent information of multi-type relations into a unified embedding space.
Zhang, Hongming, Hongming Zhang, Lingling Yi, Yi, Lingling, Qiu, Liwei, Song, Yangqiu, Liwei Qiu, Yangqiu Song   +7 more
core   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

Molecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh, Nitzan Medina‐Itzhaki, Milena Chekov, Eden Gal‐Swisa, Roba Gabesh‐Wahabi, Inbar Savyon, Inna Naroditsky, Hilary A. Kenny, Basem Fares, Lina Korsensky, Einav Girsh, Liron Berger, Ruth Perets   +12 more
wiley   +1 more source