Results 61 to 70 of about 8,080,419 (296)
CGSNet: Contrastive Graph Self-attention Network for session-based recommendation
, 2022 CGSNet: Contrastive Graph Self-attention Network for session-based ...
Fuyun Wang (6863549) +2 more
core
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
"Graph Entropy, Network Coding and Guessing games" [PDF]
, 2007 We introduce the (private) entropy of a directed graph (in a new network coding sense) as well as a number of related concepts. We show that the entropy of a directed graph is identical to its guessing number and can be bounded from below with the number
RIIS, SM
core +2 more sources
Collaborative Recommendation Based on Graph Neural Network Clustering Subgraphs Using Dual Graph Attention Network [PDF]
Jisuanji gongchengA recommendation system based on Graph Neural Network (GNN) can extract high-order connectivity between users and items. Collaborative Filtering (CF) is a classic recommendation algorithm that suffers from over-smoothing issues during the stacking of ...
XUE Yang, QIN Yao, ZHANG Shuxiang
doaj +1 more source
Context-Aware Graph Attention Networks
CoRR, 2019 Graph Neural Networks (GNNs) have been widely studied for graph data representation and learning. However, existing GNNs generally conduct context-aware learning on node feature representation only which usually ignores the learning of edge (weight) representation.
Bo Jiang 0002 +3 more
openaire +2 more sources
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
GAEDNN: Graph Attention Encoder–Decoder Neural Network for Heterogeneous Graph Embedding
IEEE AccessGraph embedding serves as a core technique for heterogeneous graph analysis. Existing methods use metapaths and attention mechanisms to learn node embeddings, but they suffer from feature redundancy due to repeated nodes in metapath walks.
Hang Xiao, Yashu Liu
doaj +1 more source
Attention-driven Graph Clustering Network
Proceedings of the 29th ACM International Conference on Multimedia, 2021 The combination of the traditional convolutional network (i.e., an auto-encoder) and the graph convolutional network has attracted much attention in clustering, in which the auto-encoder extracts the node attribute feature and the graph convolutional network captures the topological graph feature.
Zhihao Peng 0002 +3 more
openaire +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