Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: cran: node2vec
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/node2vec
Algorithmic Framework for Representational Learning on Graphs
1 version
Latest release: almost 4 years ago
181 downloads last month
Papers Mentioning node2vec 104
10.1186/s13059-021-02264-8
GeneWalk identifies relevant gene functions for a biological context using network representation learningCited by: 26
Author(s): Robert Ietswaart, Benjamin M. Gyori, John A. Bachman, Peter K. Sorger, L. Stirling Churchman
Software Mentions: 14
Published: almost 4 years ago
10.1186/s12918-018-0662-y
Integrating node embeddings and biological annotations for genes to predict disease-gene associationsCited by: 27
Author(s): Sezin Kircali Ata, Le Ou-Yang, Yuan Fang, Chee-Keong Kwoh, Min Wu, Xiaoli Li
Software Mentions: 11
Published: almost 6 years ago
10.1186/s12859-021-04055-1
Juxtapose: a gene-embedding approach for comparing co-expression networksCited by: 8
Author(s): Katie Ovens, Farhad Maleki, B. Frank Eames, Ian McQuillan
Software Mentions: 10
Published: over 3 years ago
10.1186/s13062-018-0214-9
Predicting clinical outcome of neuroblastoma patients using an integrative network-based approachCited by: 13
Author(s): Léon-Charles Tranchevent, Petr V. Nazarov, Tony Kaoma, Georges Pierre Schmartz, Arnaud Muller, Sang Yoon Kim, Jagath C. Rajapakse, Francisco Azuaje
Software Mentions: 10
Published: almost 7 years ago
10.7717/peerj-cs.521
LinkPred: a high performance library for link prediction in complex networksCited by: 0
Author(s): Said Kerrache
Software Mentions: 8
Published: over 3 years ago
10.1155/2021/5573740
Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine LearningCited by: 10
Author(s): Simon Wein, Gustavo Deco, Ana Maria Tomé, Markus Goldhacker, Wilhelm M. Malloni, Mark W. Greenlee, Elmar Lang
Software Mentions: 7
Published: over 3 years ago
10.1371/journal.pcbi.1009382
Biomedical Data Commons (BMDC) prioritizes B-lymphocyte non-coding genetic variants in Type 1 DiabetesCited by: 3
Author(s): Samantha N. Piekos, Sadhana Gaddam, Pranav Bhardwaj, Prashanth Radhakrishnan, Ramanathan V. Guha, Anthony E. Oro
Software Mentions: 7
Published: about 3 years ago
10.1186/s13321-019-0342-y
KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computationCited by: 16
Author(s): Ying Shen, Kun Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei
Software Mentions: 7
Published: over 5 years ago
10.1007/s10994-020-05890-8
Propositionalization and embeddings: two sides of the same coinCited by: 20
Author(s): Nada Lavrač, Blaž Škrlj, Marko Robnik–Šikonja
Software Mentions: 6
Published: over 4 years ago
10.1186/s13321-020-00447-2
DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniquesCited by: 54
Author(s): Maha A. Thafar, Rawan S. Olayan, Haitham Ashoor, Somayah Albaradei, Vladimir B. Bajic, Xin Gao, Takashi Gojobori, Magbubah Essack
Software Mentions: 6
Published: over 4 years ago
10.1186/s12859-020-03816-8
Graph embeddings on gene ontology annotations for protein–protein interaction predictionCited by: 14
Author(s): Xiaoshi Zhong, Jagath C. Rajapakse
Software Mentions: 6
Published: almost 4 years ago
10.1128/mSystems.01296-20
Harnessing Machine Learning To Unravel Protein Degradation in Escherichia coliCited by: 16
Author(s): Natan Nagar, Noa Ecker, Gil Loewenthal, Oren Avram, Daniella Ben-Meir, Dvora Biran, Eliora Z. Ron, Tal Pupko
Software Mentions: 6
Published: over 3 years ago
10.1186/s13321-021-00552-w
DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learningCited by: 20
Author(s): Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
Software Mentions: 6
Published: about 3 years ago
10.1016/j.csbj.2020.05.017
Constructing knowledge graphs and their biomedical applicationsCited by: 115
Author(s): David N. Nicholson, Casey S. Greene
Software Mentions: 6
Published: almost 5 years ago
10.3389/fdata.2021.699070
Unified Representation of Twitter and Online News Using Graph and EntitiesCited by: 1
Author(s): Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Software Mentions: 6
Published: about 3 years ago
10.1007/s10994-020-05882-8
Embedding-based Silhouette community detectionCited by: 10
Author(s): Blaž Škrlj, Jan Kralj, Nada Lavrač
Software Mentions: 6
Published: over 4 years ago
10.3389/fnins.2021.605115
Diagnosis of Alzheimer’s Disease Using Brain NetworkCited by: 12
Author(s): Ramesh Kumar Lama, Goo‐Rak Kwon
Software Mentions: 5
Published: over 3 years ago
10.3389/fcell.2021.732370
An Integrative Network Science and Artificial Intelligence Drug Repurposing Approach for Muscle Atrophy in Spaceflight MicrogravityCited by: 2
Author(s): Vidya Manian, Jairo Orozco-Sandoval, Victor Díaz-Martínez
Software Mentions: 5
Published: about 3 years ago
10.3389/frma.2021.644614
PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction NetworksCited by: 0
Author(s): Blaž Škrlj, Enja Kokalj, Nada Lavrač
Software Mentions: 5
Published: over 3 years ago
10.3389/fncom.2018.00095
Brain Network Analysis and Classification Based on Convolutional Neural NetworkCited by: 18
Author(s): Meng Liu, Jing Xiang
Software Mentions: 5
Published: almost 6 years ago
10.1371/journal.pcbi.1008229
DeepHE: Accurately predicting human essential genes based on deep learningCited by: 24
Author(s): Xue Zhang, Wangxin Xiao, Weijia Xiao
Software Mentions: 5
Published: about 4 years ago
10.1371/journal.pone.0248552
KG2Vec: A node2vec-based vectorization model for knowledge graphCited by: 11
Author(s): YueQun Wang, Liyan Dong, XiaoQuan Jiang, Xintao Ma, Yongli Li, Hao Zhang
Software Mentions: 5
Published: over 3 years ago
10.3389/fncom.2020.603765
WGEVIA: A Graph Level Embedding Method for Microcircuit DataCited by: 1
Author(s): Xiaomin Wu, Shuvra S. Bhattacharyya, Rong Chen
Software Mentions: 5
Published: almost 4 years ago
10.1007/s41109-020-00257-3
Evolving network representation learning based on random walksCited by: 8
Author(s): Farzaneh Heidari, Manos Papagelis
Software Mentions: 5
Published: over 4 years ago
10.1371/journal.pone.0218264
Predicting biomedical relationships using the knowledge and graph embedding cascade modelCited by: 18
Author(s): Xiaomin Liang, Daifeng Li, Min Song, Andrew D. Madden, Ying Ding, Yi Bu
Software Mentions: 5
Published: over 5 years ago
10.1038/s41598-017-12586-y
The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random WalksCited by: 11
Author(s): Weiwei Gu, L. Gong, Xiaodan Lou, Jiang Zhang
Software Mentions: 5
Published: about 7 years ago
10.1186/s13321-021-00513-3
Deep learning integration of molecular and interactome data for protein–compound interaction predictionCited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Software Mentions: 4
Published: over 3 years ago
10.3389/fdata.2019.00002
Deep Representation Learning for Social Network AnalysisCited by: 39
Author(s): Qiaoyu Tan, Ninghao Liu, Xia Hu
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2020.626500
Identification of Protein Subcellular Localization With Network and Functional EmbeddingsCited by: 38
Author(s): Xiaoyong Pan, Hao Li, Tao Zeng, Zhandong Li, Lei Chen, Tao Huang, Yi Cai
Software Mentions: 4
Published: almost 4 years ago
10.1186/s12859-019-3284-5
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settingsCited by: 56
Author(s): Remzi Çelebi, H. Turgut Uyar, Erkan Yasar, Özgür Gümüş, Oğuz Dikenelli, Michel Dumontier
Software Mentions: 4
Published: almost 5 years ago
10.3390/ijms22189983
Comprehensive Survey of Recent Drug Discovery Using Deep LearningCited by: 43
Author(s): Kim Jintae, Sera Park, Dongbo Min, Wankyu Kim
Software Mentions: 4
Published: about 3 years ago
10.3389/fgene.2021.738274
iCDI-W2vCom: Identifying the Ion Channel–Drug Interaction in Cellular Networking Based on word2vec and node2vecCited by: 4
Author(s): Jie Zheng, Xuan Xiao, Wang-Ren Qiu
Software Mentions: 4
Published: about 3 years ago
10.1038/s41598-021-85255-w
Leveraging graph-based hierarchical medical entity embedding for healthcare applicationsCited by: 7
Author(s): Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan
Software Mentions: 4
Published: over 3 years ago
10.1038/s41598-020-79422-8
FlavorGraph: a large-scale food-chemical graph for generating food representations and recommending food pairingsCited by: 13
Author(s): Donghyeon Park, Keonwoo Kim, Seoyoon Kim, Michael Spranger, Jaewoo Kang
Software Mentions: 4
Published: almost 4 years ago
10.1186/s12864-019-6272-2
GO2Vec: transforming GO terms and proteins to vector representations via graph embeddingsCited by: 15
Author(s): Xiaoshi Zhong, Rama Kaalia, Jagath C. Rajapakse
Software Mentions: 4
Published: almost 5 years ago
10.1186/s12859-019-3076-y
DeepEP: a deep learning framework for identifying essential proteinsCited by: 36
Author(s): Min Zeng, Min Li, Fang‐Xiang Wu, Yaohang Li, Yi Pan
Software Mentions: 4
Published: almost 5 years ago
10.1186/s12920-019-0605-5
Prediction of comorbid diseases using weighted geometric embedding of human interactomeCited by: 8
Author(s): Pakeeza Akram, Li Liao
Software Mentions: 4
Published: almost 5 years ago
10.1186/s12918-019-0694-y
GNE: a deep learning framework for gene network inference by aggregating biological informationCited by: 29
Author(s): Kishan Kc, Rui Li, Feng Cui, Qi Yu, Anne R. Haake
Software Mentions: 4
Published: over 5 years ago
10.1155/2020/6248686
PmDNE: Prediction of miRNA-Disease Association Based on Network Embedding and Network Similarity AnalysisCited by: 2
Author(s): Junyi Li, Ying Liu, Zhongqing Zhang, Bo Liu, Yadong Wang
Software Mentions: 4
Published: almost 4 years ago
10.1093/bib/bbaa257
Biological network analysis with deep learningCited by: 88
Author(s): Giulia Muzio, Leslie O’Bray, Karsten Borgwardt
Software Mentions: 4
Published: almost 4 years ago
10.1186/s12859-021-04327-w
DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embeddingCited by: 14
Author(s): Yue Yang, Shan He
Software Mentions: 4
Published: about 3 years ago
10.7717/peerj-cs.357
Survey on graph embeddings and their applications to machine learning problems on graphsCited by: 48
Author(s): Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, Lovro Šubelj
Software Mentions: 4
Published: almost 4 years ago
10.1101/2020.08.17.254839
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 responseCited by: 5
Author(s): Justin Reese, Deepak Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica Munoz‐Torres, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall
Software Mentions: 4
Published: about 4 years ago
10.1371/journal.pone.0221172
SimNet: Similarity-based network embeddings with mean commute timeCited by: 9
Author(s): M. Amin Khajehnejad
Software Mentions: 4
Published: about 5 years ago
10.1371/journal.pone.0224684
User abnormal behavior recommendation via multilayer networkCited by: 6
Author(s): Chengyun Song, Weiyi Liu, Zhining Liu, Xiaoyang Liu
Software Mentions: 4
Published: almost 5 years ago
10.1371/journal.pone.0244430
PFP-WGAN: Protein function prediction by discovering Gene Ontology term correlations with generative adversarial networksCited by: 7
Author(s): Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani, Hamid R. Rabiee, Mohammad R. K. Mofrad
Software Mentions: 4
Published: over 3 years ago
10.1186/s12859-019-2914-2
edge2vec: Representation learning using edge semantics for biomedical knowledge discoveryCited by: 33
Author(s): Zheng Gao, Gang Fu, Cheng Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy J. Yang, Christopher R Gessner, Brian Foote, David Wild, Ying Ding, Qi Yu
Software Mentions: 4
Published: over 5 years ago
10.1016/j.csbj.2019.02.002
Herb Target Prediction Based on Representation Learning of Symptom related Heterogeneous NetworkCited by: 18
Author(s): Ning Wang, Peng Li, Xiaochen Hu, Kuo Yang, Yonghong Peng, Qiang Zhu, Runshun Zhang, Zhuye Gao, Hao Xu, Baoyan Liu, Jianxin Chen, Xuezhong Zhou
Software Mentions: 4
Published: almost 6 years ago
10.1371/journal.pone.0242723
A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteinsCited by: 1
Author(s): Stavros Makrodimitris, Marcel J. T. Reinders, Roeland van Ham
Software Mentions: 3
Published: almost 4 years ago
10.1186/s12859-021-03971-6
Data-driven biological network alignment that uses topological, sequence, and functional informationCited by: 2
Author(s): Shawn Gu, Tijana Milenković
Software Mentions: 3
Published: almost 4 years ago
10.1186/s12859-019-3063-3
A network embedding-based multiple information integration method for the MiRNA-disease association predictionCited by: 50
Author(s): Yuchong Gong, Yanqing Niu, Wen Zhang, LI Xiao-hong
Software Mentions: 3
Published: about 5 years ago
10.1186/s12864-020-07223-4
gCAnno: a graph-based single cell type annotation methodCited by: 0
Author(s): Xiaofei Yang, Shenghan Gao, Ting-Jie Wang, Boyu Yang, Ningxin Dang, Kai Ye
Software Mentions: 3
Published: almost 4 years ago
10.1186/s12911-018-0592-z
Heterogeneous network propagation for herb target identificationCited by: 6
Author(s): Kuo Yang, Guangming Liu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen, Xuezhong Zhou
Software Mentions: 3
Published: over 6 years ago
10.1016/j.patter.2020.100155
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 ResponseCited by: 54
Author(s): Justin Reese, Deepak Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica Munoz‐Torres, Melissa Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall
Software Mentions: 3
Published: almost 4 years ago
10.3390/pharmaceutics11080377
Comparison of Target Features for Predicting Drug-Target Interactions by Deep Neural Network Based on Large-Scale Drug-Induced Transcriptome DataCited by: 22
Author(s): Hanbi Lee, Wankyu Kim
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0238915
Graph embedding-based novel protein interaction prediction via higher-order graph convolutional networkCited by: 25
Author(s): Zewen Xiao, Yue Deng
Software Mentions: 3
Published: about 4 years ago
10.3390/cells8090977
A Novel Computational Model for Predicting microRNA–Disease Associations Based on Heterogeneous Graph Convolutional NetworksCited by: 53
Author(s): Chunyan Li, Hongju Liu, Qian Hu, Jinlong Que, Junfeng Yao
Software Mentions: 3
Published: about 5 years ago
10.3389/fcell.2021.700061
DeepGP: An Integrated Deep Learning Method for Endocrine Disease Gene Prediction Using Omics DataCited by: 1
Author(s): Ningyi Zhang, Haoyan Wang, Xu Chen, Liyuan Zhang, Tianyi Zang
Software Mentions: 3
Published: over 3 years ago
10.3389/fchem.2019.00782
Comparison Study of Computational Prediction Tools for Drug-Target Binding AffinitiesCited by: 82
Author(s): Maha A. Thafar, Arwa Bin Raies, Somayah Albaradei, Magbubah Essack, Vladimir B. Bajic
Software Mentions: 3
Published: almost 5 years ago
10.3389/fgene.2021.728333
Discovering Cerebral Ischemic Stroke Associated Genes Based on Network Representation LearningCited by: 4
Author(s): Haijie Liu, Liping Hou, Shanhu Xu, He Li, Xiuju Chen, Juan Gao, Ziwen Wang, Bo Han, Xiaoli Liu, Shu Wan
Software Mentions: 3
Published: about 3 years ago
10.1016/j.gpb.2020.11.003
Computational Screening of Phase-separating ProteinsCited by: 27
Author(s): Boyan Shen, Zhaoming Chen, Chunyu Yu, Taoyu Chen, Minglei Shi, Tingting Li
Software Mentions: 3
Published: almost 4 years ago
10.1038/s41598-020-77766-9
SkipGNN: predicting molecular interactions with skip-graph networksCited by: 43
Author(s): Kexin Huang, Cao Xiao, Lucas M. Glass, Marinka Žitnik, Jimeng Sun
Software Mentions: 3
Published: almost 4 years ago
10.1038/s41598-021-87987-1
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approachCited by: 14
Author(s): Léo Pio-Lopez, Alberto Valdeolivas, Laurent Tichit, Élisabeth Rémy, Anaı̈s Baudot
Software Mentions: 3
Published: over 3 years ago
10.3390/s21092911
Vision–Language–Knowledge Co-Embedding for Visual Commonsense ReasoningCited by: 3
Author(s): JaeYun Lee, In-Cheol Kim
Software Mentions: 3
Published: over 3 years ago
10.2196/18417
Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive ModelsCited by: 19
Author(s): Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J. Liang, Parthasarathy Suryanarayanan
Software Mentions: 3
Published: over 4 years ago
10.3390/jpm11040300
Knowledge Graphs for COVID-19: An Exploratory Review of the Current LandscapeCited by: 16
Author(s): A. Chatterjee, Cosimo Nardi, Cary Oberije, Philippe Lambin
Software Mentions: 3
Published: over 3 years ago
10.3389/fgene.2018.00248
Prediction of Drug–Gene Interaction by Using Metapath2vecCited by: 28
Author(s): Siyi Zhu, Jiaxin Bing, Xiaoping Min, Chen Lin, Xiangxiang Zeng
Software Mentions: 2
Published: over 6 years ago
10.3389/fgene.2019.00381
To Embed or Not: Network Embedding as a Paradigm in Computational BiologyCited by: 123
Author(s): William H. Nelson, Marinka Žitnik, Bo Wang, Jure Leskovec, Anna Goldenberg, Roded Sharan
Software Mentions: 2
Published: over 5 years ago
10.3389/fgene.2021.650821
GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous NetworkCited by: 10
Author(s): Zhixian Liu, Yi‐Ping Phoebe Chen, Wei Lan, Haiming Pan, Xinkun Hao, Shirui Pan
Software Mentions: 2
Published: over 3 years ago
10.3389/fgene.2020.00328
Predicting the Disease Genes of Multiple Sclerosis Based on Network Representation LearningCited by: 7
Author(s): Haijie Liu, Jiaojiao Guan, He Li, Zhijie Bao, Qingmei Wang, Xun Luo, Hansheng Xue
Software Mentions: 2
Published: over 4 years ago
10.3389/fnbot.2021.665055
SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge TransferCited by: 3
Author(s): Yugang Ma, Qing Li, Nan Hu, Lili Li
Software Mentions: 2
Published: over 3 years ago
10.3389/fnins.2019.01387
Multi-Task Learning Based Network EmbeddingCited by: 9
Author(s): Shanfeng Wang, Qixiang Wang, Maoguo Gong
Software Mentions: 2
Published: almost 5 years ago
10.3390/e23040403
Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised LearningCited by: 4
Author(s): Xun Zhang, Lanyan Yang, Bin Zhang, Ying Liu, Dong Jiang, Xiaohai Qin, Ming Hao
Software Mentions: 2
Published: over 3 years ago
10.3389/fnins.2020.00001
Multi-Task Network Representation LearningCited by: 9
Author(s): Yu Xie, Peixuan Jin, Maoguo Gong, Chen Zhang, Bin Yu
Software Mentions: 2
Published: almost 5 years ago
10.3390/e22020197
Optimizing Variational Graph Autoencoder for Community Detection with Dual OptimizationCited by: 13
Author(s): Jun Jin Choong, Xin Liu, Tsuyoshi Murata
Software Mentions: 2
Published: over 4 years ago
10.3390/genes11060668
A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral SclerosisCited by: 14
Author(s): Daniel Bean, Ammar Al‐Chalabi, Richard Dobson, Alfredo Iacoangeli
Software Mentions: 2
Published: over 4 years ago
10.1371/journal.pone.0188577
Analyzing cross-college course enrollments via contextual graph miningCited by: 4
Author(s): Yongzhen Wang, Xiaozhong Liu, Yan Chen
Software Mentions: 2
Published: almost 7 years ago
10.1186/s12859-021-04300-7
An iteration model for identifying essential proteins by combining comprehensive PPI network with biological informationCited by: 2
Author(s): Shiyuan Li, Zhen Zhang, Xueyong Li, Tan Yang, Lei Wang
Software Mentions: 2
Published: about 3 years ago
10.1007/s10796-021-10131-x
The Role of Artificial Intelligence in Fighting the COVID-19 PandemicCited by: 56
Author(s): Francesco Piccialli, Vincenzo Schiano di Cola, Fabio Giampaolo, Salvatore Cuomo
Software Mentions: 2
Published: over 3 years ago
10.1186/s13326-018-0188-7
EAPB: entropy-aware path-based metric for ontology qualityCited by: 1
Author(s): Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei
Software Mentions: 2
Published: about 6 years ago
10.1371/journal.pcbi.1008186
A new Graph Gaussian embedding method for analyzing the effects of cognitive trainingCited by: 17
Author(s): Mengjia Xu, Zhijiang Wang, Haifeng Zhang, Dimitrios Pantazis, Huali Wang, Quanzheng Li
Software Mentions: 2
Published: about 4 years ago
10.1371/journal.pcbi.1008998
PRER: A patient representation with pairwise relative expression of proteins on biological networksCited by: 0
Author(s): Halil İbrahim Kuru, Mustafa Büyüközkan, Öznur Taştan
Software Mentions: 2
Published: over 3 years ago
10.7717/peerj-cs.172
Dual network embedding for representing research interests in the link prediction problem on co-authorship networksCited by: 23
Author(s): Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid Zhukov
Software Mentions: 2
Published: almost 6 years ago
10.1093/bioinformatics/btaa150
Supervised learning is an accurate method for network-based gene classificationCited by: 23
Author(s): Renming Liu, Christopher Mancuso, Anna Yannakopoulos, Kayla A Johnson, Arjun Krishnan
Software Mentions: 2
Published: over 4 years ago
10.1073/pnas.1911030117
The impossibility of low-rank representations for triangle-rich complex networksCited by: 33
Author(s): C. Seshadhri, Aneesh Sharma, Andrew Stolman, Ashish Goel
Software Mentions: 2
Published: over 4 years ago
10.1186/s12911-019-0880-2
Detection of medical text semantic similarity based on convolutional neural networkCited by: 19
Author(s): Tao Zheng, Yimei Gao, Fei Wang, Chenchen Fan, Xingzhi Fu, Mei Li, Ya Zhang, Shaodian Zhang, Handong Ma
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-020-69379-z
Identifying critical nodes in temporal networks by network embeddingCited by: 11
Author(s): Enyu Yu, Yan Fu, Xiao Chen, Mei Xie, Duanbing Chen
Software Mentions: 2
Published: over 4 years ago
10.2196/29570
Social Media Polarization and Echo Chambers in the Context of COVID-19: Case StudyCited by: 25
Author(s): Julie Jiang, Xiang Ren, Emilio Ferrara
Software Mentions: 2
Published: over 3 years ago
10.1186/s12859-019-3056-2
Predicting links between tumor samples and genes using 2-Layered graph based diffusion approachCited by: 10
Author(s): Mohan Timilsina, Haixuan Yang, Ratnesh Sahay, Dietrich Rebholz‐Schuhmann
Software Mentions: 2
Published: about 5 years ago
10.1186/s12859-018-2200-8
Relation extraction for biological pathway construction using node2vecCited by: 14
Author(s): Munui Kim, Seung Han Baek, Min Song
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-021-85826-x
Discovering latent node Information by graph attention networkCited by: 5
Author(s): Weiwei Gu, Fei Gao, Xiaodan Lou, Jiang Zhang
Software Mentions: 2
Published: over 3 years ago
10.3390/ijms20236046
DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification ModelCited by: 5
Author(s): Jiacheng Wang, Jingpu Zhang, Yideng Cai, Lei Deng
Software Mentions: 2
Published: almost 5 years ago
10.1038/s41598-021-92427-1
An information theoretic approach to link prediction in multiplex networksCited by: 4
Author(s): Seyed Hossein Jafari, Amir Mahdi Abdolhosseini-Qomi, Masoud Asadpour, Maseud Rahgozar, Naser Yazdani
Software Mentions: 2
Published: over 3 years ago
10.3390/s19245518
A Spatial Adaptive Algorithm Framework for Building Pattern Recognition Using Graph Convolutional NetworksCited by: 14
Author(s): Weijia Bei, Mingqiang Guo, Ying Huang
Software Mentions: 2
Published: almost 5 years ago
10.3390/ijms22073378
Quantitative Proteomic Approach Reveals Altered Metabolic Pathways in Response to the Inhibition of Lysine Deacetylases in A549 Cells under Normoxia and HypoxiaCited by: 3
Author(s): Alfonso Martín-Bernabé, Josep Tarragó‐Celada, Valérie Cunin, Sylvie Michelland, Roberto Cortés, Johann Poignant, Cyril Boyault, Walid Rachidi, Sandrine Bourgoin-Voillard, Marta Cascante, Michel Sève
Software Mentions: 2
Published: over 3 years ago
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Author(s): Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Bo Xu
Software Mentions: 2
Published: about 6 years ago
10.3389/fgene.2021.657182
MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation LearningCited by: 7
Author(s): Bo-Wei Zhao, Zhu‐Hong You, Leon Wong, Ping Zhang, Haoyuan Li, Lei Wang
Software Mentions: 2
Published: over 3 years ago
10.3389/fgene.2019.00003
Predicting Gene Ontology Function of Human MicroRNAs by Integrating Multiple NetworksCited by: 36
Author(s): Lei Deng, Jiacheng Wang, Jingpu Zhang
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10.3389/fbioe.2020.00418
Disease Module Identification Based on Representation Learning of Complex Networks Integrated From GWAS, eQTL Summaries, and Human InteractomeCited by: 21
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10.3389/fgene.2020.00807
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