Results 71 to 80 of about 146,643 (141)

Dual Clustering-Based Method for Geospatial Knowledge Graph Partitioning

Applied Sciences
Geospatial knowledge graphs provide critical technology for integrating geographic information and semantic knowledge, which are very useful for geographic data analysis.
Yuxuan Chen, Feifei Ou, Qiliang Liu, Gusheng Wu, Kaiqi Chen, Min Deng, Meihua Chen, Rui Xu   +7 more
doaj   +1 more source

Renyi entropy driven hierarchical graph clustering. [PDF]

PeerJ Comput Sci, 2021
Oggier F, Datta A.
europepmc   +1 more source

Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins. [PDF]

Entropy (Basel), 2021
Jeong H, Kim Y, Jung YS, Kang DR, Cho YR.   +4 more
europepmc   +1 more source

Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering. [PDF]

Wirel Pers Commun, 2021
Capdehourat G, Bermolen P, Fiori M, Frevenza N, Larroca F, Morales G, Rattaro C, Zunino G.   +7 more
europepmc   +1 more source

Dual-channel attribute graph clustering beyond the homogeneity assumption

Dianxin kexue
In recent years, significant progress has been made in the research of attribute graph clustering. However, existing methods are mostly based on the homogeneity assumption, thereby neglecting the application scenarios of heterogeneous graphs, leading to ...
AN Junxiu, LIU Yuan, YANG Linwang
doaj  

Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network. [PDF]

Mol Inform, 2022
Karim MB, Kanaya S, Altaf-Ul-Amin M.
europepmc   +1 more source

A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping. [PDF]

Math Geosci, 2021
Cheng S, Argaud JP, Iooss B, Ponçot A, Lucor D.   +4 more
europepmc   +1 more source

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach. [PDF]

PeerJ, 2021
Harun S, Afiqah-Aleng N, Karim MB, Altaf Ul Amin M, Kanaya S, Mohamed-Hussein ZA.   +5 more
europepmc   +1 more source

Deep learning powered single-cell clustering framework with enhanced accuracy and stability

Scientific Reports
Single-cell RNA sequencing (scRNA-seq) has revolutionized the field of cellular diversity research. Unsupervised clustering, a key technique in this exploration, allows for the identification of distinct cell types within a population.
Yi Zhang, Xi Feng, Yin Wang, Kai Shi
doaj   +1 more source

Prototype based contrastive graph clustering network for reducing false negatives. [PDF]

Sci Rep
Ma C, Tang C, Deng Z, Li F, Long H, Cheng J.   +5 more
europepmc   +1 more source