4.7 Article

Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biology

A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding

Elahe Nasiri et al.

Summary: Predicting interactions in protein networks is crucial for biological processes, and computational methods have been used, including the popular Deepwalk algorithm, to predict protein interactions. This study focuses on link prediction in attributed networks by modifying Deepwalk with feature selection for more accurate prediction of protein-protein interactions. Results show that this approach outperforms other methods and improves prediction accuracy.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Article Automation & Control Systems

Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends

Saman Forouzandeh et al.

Summary: This study introduces a trust-based recommender system that addresses the challenges of predicting scores for items not rated by users, using Trust Walker and random walk algorithms, and further improves prediction accuracy and efficiency by incorporating the Biased Random Walk algorithm.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Article Computer Science, Artificial Intelligence

ExEm: Expert embedding using dominating set theory with deep learning approaches

Narjes Nikzad-Khasmakhi et al.

Summary: The study introduces a graph embedding method, ExEm, which captures expert node representations using dominating-set theory and deep learning techniques, effectively extracting expert embeddings that can be applied to various domains. Experimental results demonstrate that ExEm outperforms baselines, especially in dense networks.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Information Systems

Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens

Saman Forouzandeh et al.

Summary: This study improved the prediction accuracy of recommender systems using group classification and ensemble learning techniques, while also addressing the complex issue of user behavior analysis through graph embedding.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Article Physics, Multidisciplinary

Community detection in complex networks using Node2vec with spectral clustering

Fang Hu et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)

Review Biotechnology & Applied Microbiology

Protein complex prediction: A survey

Javad Zahiri et al.

GENOMICS (2020)

Review Computer Science, Information Systems

A survey of current trends in computational predictions of protein-protein interactions

Yanbin Wang et al.

FRONTIERS OF COMPUTER SCIENCE (2020)

Article Biology

Protein complex prediction in interaction network based on network motif

Sabyasachi Patra et al.

COMPUTATIONAL BIOLOGY AND CHEMISTRY (2020)

Article Biochemical Research Methods

Integrating network topology, gene expression data and GO annotation information for protein complex prediction

Wei Zhang et al.

JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (2019)

Article Physics, Applied

LP-LPA: A link influence-based label propagation algorithm for discovering community structures in networks

Kamal Berahmand et al.

INTERNATIONAL JOURNAL OF MODERN PHYSICS B (2018)

Article Multidisciplinary Sciences

Global spectral clustering in dynamic networks

Fuchen Liu et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)

Article Computer Science, Information Systems

Local Spectral Clustering for Overlapping Community Detection

Yixuan Li et al.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2018)

Article Computer Science, Information Systems

A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

Erxue Min et al.

IEEE ACCESS (2018)

Article Mathematical & Computational Biology

A systematic survey of centrality measures for protein-protein interaction networks

Minoo Ashtiani et al.

BMC SYSTEMS BIOLOGY (2018)

Article Biochemical Research Methods

Protein complexes identification based on go attributed network embedding

Bo Xu et al.

BMC BIOINFORMATICS (2018)

Article Computer Science, Cybernetics

Community Detection in Complex Networks by Detecting and Expanding Core Nodes Through Extended Local Similarity of Nodes

Kamal Berahman et al.

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2018)

Article Physics, Multidisciplinary

Deep community detection in topologically incomplete networks

Xin Xin et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)

Article Statistics & Probability

A SPECTRAL METHOD FOR COMMUNITY DETECTION IN MODERATELY SPARSE DEGREE-CORRECTED STOCHASTIC BLOCK MODELS

Lennart Gulikers et al.

ADVANCES IN APPLIED PROBABILITY (2017)

Article Computer Science, Artificial Intelligence

Clustering and Summarizing Protein-Protein Interaction Networks: A Survey

Sourav S. Bhowmick et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)

Article Statistics & Probability

PSEUDO-LIKELIHOOD METHODS FOR COMMUNITY DETECTION IN LARGE SPARSE NETWORKS

Arash A. Amini et al.

ANNALS OF STATISTICS (2013)

Article Biochemical Research Methods

Protein complex detection using interaction reliability assessment and weighted clustering coefficient

Nazar Zaki et al.

BMC BIOINFORMATICS (2013)

Article Biochemical Research Methods

Utilizing Both Topological and Attribute Information for Protein Complex Identification in PPI Networks

Allen L. Hu et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2013)

Article Biochemical Research Methods

Detecting overlapping protein complexes in protein-protein interaction networks

Tamas Nepusz et al.

NATURE METHODS (2012)

Article Computer Science, Interdisciplinary Applications

Spectral clustering for detecting protein complexes in protein-protein interaction (PPI) networks

Guimin Qin et al.

MATHEMATICAL AND COMPUTER MODELLING (2010)

Article Biochemical Research Methods

Complex discovery from weighted PPI networks

Guimei Liu et al.

BIOINFORMATICS (2009)

Article Biochemical Research Methods

A core-attachment based method to detect protein complexes in PPI networks

Min Wu et al.

BMC BIOINFORMATICS (2009)

Article Biochemical Research Methods

Predicting Protein Complexes from PPI Data: A Core-Attachment Approach

Henry C. M. Leung et al.

JOURNAL OF COMPUTATIONAL BIOLOGY (2009)

Article Biochemical Research Methods

Toward a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae

Sean R. Collins et al.

MOLECULAR & CELLULAR PROTEOMICS (2007)

Article Multidisciplinary Sciences

Reducing the dimensionality of data with neural networks

G. E. Hinton et al.

SCIENCE (2006)

Article Multidisciplinary Sciences

Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

NJ Krogan et al.

NATURE (2006)

Article Biochemistry & Molecular Biology

BioGRID: a general repository for interaction datasets

Chris Stark et al.

NUCLEIC ACIDS RESEARCH (2006)

Article Biochemical Research Methods

An automated method for finding molecular complexes in large protein interaction networks

GD Bader et al.

BMC BIOINFORMATICS (2003)

Article Biochemistry & Molecular Biology

DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions

I Xenarios et al.

NUCLEIC ACIDS RESEARCH (2002)