Search Results - Meta-graph algorithm

A domain generalization pedestrian re-identification algorithm based on meta-graph aware

Authors: Dongyang Wu Baohua Zhang Xiaoqi Lu et al.

Source: Multimedia Tools and Applications. 83:2913-2933

Immune status assessment based on plasma proteomics with meta graph convolutional networks

Authors: Min Zhang Nan Xu Qi Cheng et al.

Source: BMC Genomics
BMC Genomics, Vol 26, Iss 1, Pp 1-17 (2025)

Subject Terms: Proteomics, Meta-learning graph convolutional network, Lung Neoplasms, SARS-CoV-2, COVID-19, Plasma proteomics, Immune-related proteins, Immune status score, Blood Proteins, QH426-470, Machine Learning, Carcinoma, Non-Small-Cell Lung, Machine learning, Genetics, Humans, Protein Interaction Maps, TP248.13-248.65, Software, Biomarkers, Algorithms, Biotechnology

Access URL: https://pubmed.ncbi.nlm.nih.gov/40211143
https://doaj.org/article/b35be888fed24a0bbc0a5f11d819bf52

EMcnv: enhancing CNV detection performance through ensemble strategies with heterogeneous meta-graph neural networks

Authors: Xuwen Wang Zhili Chang Yuqian Liu et al.

Source: Brief Bioinform

Subject Terms: DNA Copy Number Variations, Problem Solving Protocol, Humans, Computational Biology, Neural Networks, Computer, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/40163821

AMGDTI: drug-target interaction prediction based on adaptive meta-graph learning in heterogeneous network.

Authors: Su Y Hu Z Wang F et al.

Source: Briefings in bioinformatics [Brief Bioinform] 2023 Nov 22; Vol. 25 (1).

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE

MeSH Terms: Algorithms* , Medicine*, Drug Delivery Systems ; Semantics

Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting.

Authors: Guo X Yu Z Huang F et al.

Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2025 Jan; Vol. 181, pp. 106805. Date of Electronic Publication: 2024 Oct 18.

Publication Type: Journal Article

Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE

MeSH Terms: Neural Networks, Computer*, Forecasting ; Data Mining/methods ; Humans ; Spatio-Temporal Analysis ; Deep Learning ; Algorithms

MGACL: Prediction Drug-Protein Interaction Based on Meta-Graph Association-Aware Contrastive Learning.

Authors: Zhang P Lin P Li D et al.

Source: Biomolecules [Biomolecules] 2024 Oct 08; Vol. 14 (10). Date of Electronic Publication: 2024 Oct 08.

Publication Type: Journal Article

Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101596414 Publication Model: Electronic Cited Medium: Internet ISSN: 2218-273X (Electronic) Linking ISSN: 2218273X NLM ISO Abbreviation: Biomolecules Subsets: MEDLINE

MeSH Terms: Drug Discovery*/methods, Neural Networks, Computer ; Humans ; Machine Learning ; Proteins/metabolism ; Proteins/chemistry ; Algorithms ; Pharmaceutical Preparations/chemistry ; Pharmaceutical Preparations/metabolism ; Area Under Curve

Immune status assessment based on plasma proteomics with meta graph convolutional networks.

Authors: Zhang, Min Xu, Nan Cheng, Qi et al.

Source: BMC Genomics; 4/10/2025, Vol. 26 Issue 1, p1-17, 17p

Subject Terms: NON-small-cell lung carcinoma, BLOOD proteins, IMMUNITY, MACHINE learning, RANDOM forest algorithms

AMGDTI: drug–target interaction prediction based on adaptive meta-graph learning in heterogeneous network.

Authors: Su, Yansen Hu, Zhiyang Wang, Fei et al.

Source: Briefings in Bioinformatics; Jan2024, Vol. 25 Issue 1, p1-11, 11p

Subject Terms: MACHINE learning, MOLECULAR structure, DRUG repositioning, GRAPH algorithms, FORECASTING

A domain generalization pedestrian re-identification algorithm based on meta-graph aware.

Authors: Wu, Dongyang Zhang, Baohua Lu, Xiaoqi et al.

Source: Multimedia Tools & Applications; Jan2024, Vol. 83 Issue 1, p2913-2933, 21p

WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network

Authors: Yahui Long Jiawei Luo

Source: BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-18 (2019)

Subject Terms: Information Services, 0301 basic medicine, Bacteria, QH301-705.5, Heterogeneous information network, Computer applications to medicine. Medical informatics, 0206 medical engineering, R858-859.7, Computational Biology, Bacterial Infections, 02 engineering and technology, Bacterial Physiological Phenomena, 3. Good health, 03 medical and health sciences, Association prediction, Weighted meta-graph, Humans, Microbe, Disease, Computer Simulation, Biology (General), Algorithms, Research Article

Access URL: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-3066-0
https://pubmed.ncbi.nlm.nih.gov/31675979
https://doaj.org/article/255548c551a645329d1811ad331b5c2f
https://pubmed.ncbi.nlm.nih.gov/31675979/
https://europepmc.org/article/MED/31675979
http://www.ncbi.nlm.nih.gov/pubmed/31675979
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824056
https://link.springer.com/article/10.1186/s12859-019-3066-0/email/correspondent/c1/new
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3066-0

An iterative spectral algorithm for digraph clustering

Authors: Martin, James Rogers, Tim Zanetti, Luca

Index Terms: Physics - Physics and Society, Computer Science - Social and Information Networks, 91C20 (Primary) 05C50 05C82 (Secondary), text

URL: http://arxiv.org/abs/2501.17951

DTiGNN: Learning drug-target embedding from a heterogeneous biological network based on a two-level attention-based graph neural network

Authors: Saranya Muniyappan Arockia Xavier Annie Rayan Geetha Thekkumpurath Varrieth

Source: Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 9530-9571 (2023)

Subject Terms: Artificial neural network, Artificial intelligence, Drug Target Identification, multi-view convolutional neural network, Materials Science, graph neural network, Convolutional neural network, Network Pharmacology, Graph, drug-target interaction prediction, Drug Delivery Systems, Theoretical computer science, meta-graph-based representation learning, Biochemistry, Genetics and Molecular Biology, information entropy-based random walk, Machine learning, QA1-939, Materials Chemistry, Image (mathematics), Humans, Learning, Similarity (geometry), similarity network integration, Molecular Biology, Data mining, Psychiatry, Accelerating Materials Innovation through Informatics, Drug repositioning, Life Sciences, Computer science, 3. Good health, Analysis of Gene Interaction Networks, Biological Network Integration, Computational Theory and Mathematics, Area Under Curve, Computer Science, Physical Sciences, Medicine, Neural Networks, Computer, Drug, TP248.13-248.65, Mathematics, Algorithms, Biotechnology, Computational Methods in Drug Discovery, Embedding

Access URL: https://pubmed.ncbi.nlm.nih.gov/37161255
https://doaj.org/article/f7e2634fcc924c438dced4673ee14a14

An iterative spectral algorithm for digraph clustering.

Authors: Martin, James Rogers, Tim Zanetti, Luca

Source: Journal of Complex Networks; Apr2024, Vol. 12 Issue 2, p1-17, 17p

Subject Terms: DIRECTED graphs, BIOLOGICAL neural networks, UNDIRECTED graphs, REPRESENTATIONS of graphs, CARD games, ALGORITHMS

EXAMINATION SCHEDULER USING A LINEAR-TIME GRAPH COLORING ALGORITHM.

Authors: Datta, Debabrata Guha, Rush Banerjee, Neelabha et al.

Source: ICTACT Journal on Soft Computing. Jul2022, Vol. 12 Issue 4, p2678-2684. 7p.

Subject Terms: Graph algorithms, Graph theory, Higher education exams, Graph coloring, Knowledge graphs, Charts, diagrams, etc., College curriculum

Geographic Terms: India

A novel meta-graph-based attention model for event recommendation.

Authors: Jiang, Xiaolong Sun, Heli Zhang, Bo et al.

Source: Neural Computing & Applications; Sep2022, Vol. 34 Issue 17, p14659-14682, 24p

Subject Terms: CONVOLUTIONAL neural networks, SOCIAL networks, GRAPH algorithms, CHARTS, diagrams, etc., INFORMATION networks

Meta graph network recommendation based on multi-behavior encoding.

Authors: Liu, Xiaoyang Xiao, Wei Liu, Chao et al.

Source: Journal of King Saud University - Computer & Information Sciences. Jun2024, Vol. 36 Issue 5, pN.PAG-N.PAG. 1p.

Subject Terms: Convolutional neural networks, Graph neural networks, Recommender systems, Matrix decomposition, Feature extraction, Graph algorithms

A General Meta-graph Strategy for Shape Evolution under Mechanical Stress.

Authors: Montoya-Zapata, Diego Acosta, Diego A. Ruiz-Salguero, Oscar et al.

Source: Cybernetics & Systems; 2019, Vol. 50 Issue 1, p3-24, 22p

Subject Terms: GRAPHIC methods, MECHANICAL stress analysis, FINITE element method, MECHANICAL abrasion, TOPOLOGY

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Authors: Ding, Yuhui Yao, Quanming Zhao, Huan et al.

Index Terms: Graph neural networks, Heterogeneous information networks, Neural architecture search, Conference paper

URL: http://repository.ust.hk/ir/Record/1783.1-113218
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2021&rft.spage=279&rft.aulast=Ding&rft.aufirst=&rft.atitle=DiffMG%3A+Differentiable+Meta+Graph+Search+for+Heterogeneous+Graph+Neural+Networks&rft.title=Proceedings+of+the+ACM+SIGKDD+International+Conference+on+Knowledge+Discovery+and+Data+Mining
http://www.scopus.com/record/display.url?eid=2-s2.0-85114147959&origin=inward

Cloud-enabled style-aware artwork composite recommendation based on correlation graph.

Authors: Guo, Hongyuan Anari, Maryam Saberi Rezaee, Khosro

Source: Journal of Cloud Computing (2192-113X); 11/18/2025, Vol. 14 Issue 1, p1-13, 13p

Subject Terms: CLOUD computing, GRAPH algorithms, ART associations, AESTHETICS, PARALLEL algorithms

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Authors: Yuhui Ding Huan Zhao Tong Zhang et al.

Source: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. :279-288

Subject Terms: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Social and Information Networks, 02 engineering and technology, Machine Learning (cs.LG)

Access URL: http://arxiv.org/pdf/2010.03250
http://arxiv.org/abs/2010.03250
https://arxiv.org/pdf/2010.03250v2
https://arxiv.org/pdf/2010.03250.pdf
https://ui.adsabs.harvard.edu/abs/2020arXiv201003250D/abstract
https://kdd.org/kdd2021/accepted-papers#51
https://doi.org/10.1145/3447548.3467447
https://repository.ust.hk/ir/Record/1783.1-113218
https://dl.acm.org/doi/pdf/10.1145/3447548.3467447
https://dblp.uni-trier.de/db/conf/kdd/kdd2021.html#DingYZZ21