GraPASA: Parametric graph embedding via siamese architecture
Graph representation learning or graph embedding is a classical topic in data mining. Current embedding methods are mostly non-parametric, where all the embedding points are unconstrained free points in the target space. These approaches suffer from limited scalability and an over-flexible represent...
Saved in:
| Published in | Information sciences Vol. 512; pp. 1442 - 1457 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.02.2020
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Graph representation learning or graph embedding is a classical topic in data mining. Current embedding methods are mostly non-parametric, where all the embedding points are unconstrained free points in the target space. These approaches suffer from limited scalability and an over-flexible representation. In this paper, we propose a parametric graph embedding by fusing graph topology information and node content information. The embedding points are obtained through a highly flexible non-linear transformation from node content features to the target space. This transformation is learned using the contrastive loss function of the siamese network to preserve node adjacency in the input graph. On several benchmark network datasets, the proposed GraPASA method shows a significant margin over state-of-the-art techniques on benchmark graph representation tasks. |
|---|---|
| AbstractList | Graph representation learning or graph embedding is a classical topic in data mining. Current embedding methods are mostly non-parametric, where all the embedding points are unconstrained free points in the target space. These approaches suffer from limited scalability and an over-flexible representation. In this paper, we propose a parametric graph embedding by fusing graph topology information and node content information. The embedding points are obtained through a highly flexible non-linear transformation from node content features to the target space. This transformation is learned using the contrastive loss function of the siamese network to preserve node adjacency in the input graph. On several benchmark network datasets, the proposed GraPASA method shows a significant margin over state-of-the-art techniques on benchmark graph representation tasks. |
| Author | Xiong, Zhang Chen, Yujun Zhang, Xiangliang Pu, Juhua Sun, Ke |
| Author_xml | – sequence: 1 givenname: Yujun surname: Chen fullname: Chen, Yujun email: chenjohn@buaa.edu.cn organization: Engineering Research Center of Advanced Computer Application Technology, Ministry of Education, Beihang University, Beijing 100191, China – sequence: 2 givenname: Ke surname: Sun fullname: Sun, Ke email: sunk.edu@gmail.com organization: CSIRO’s Data61, Australia – sequence: 3 givenname: Juhua surname: Pu fullname: Pu, Juhua email: pujh@buaa.edu.cn organization: Engineering Research Center of Advanced Computer Application Technology, Ministry of Education, Beihang University, Beijing 100191, China – sequence: 4 givenname: Zhang surname: Xiong fullname: Xiong, Zhang email: xiongz@buaa.edu.cn organization: Engineering Research Center of Advanced Computer Application Technology, Ministry of Education, Beihang University, Beijing 100191, China – sequence: 5 givenname: Xiangliang orcidid: 0000-0002-3574-5665 surname: Zhang fullname: Zhang, Xiangliang email: xiangliang.zhang@kaust.edu.sa organization: Division of Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia |
| BookMark | eNp9j89Kw0AQhxepYFp9AG95gcTZP9lN1EsoWoWCBfW8bDaTdoNNym4s-PZuqWfnMswMv-H75mQ2jAMSckshp0DlXZ-7IeQMaBXnHJi6IAktFcskq-iMJAAMMmBFcUXmIfQAIJSUCXlcebOp3-v7dGO82ePknU233hx2Ke4bbFs3bNOjM2lw8RowNd7u3IR2-vZ4TS478xXw5q8vyOfz08fyJVu_rV6X9TqzXMCUdYoKyQsAK20HslVMCRqLURWJOMii4VUpOC8NCNmAReyMEaUtgBsmJV8Qev5r_RiCx04fvNsb_6Mp6JO-7nXU1yf90yrqx8zDOYMR7OjQ62AdDhZb5yO9bkf3T_oXDMBibQ |
| CitedBy_id | crossref_primary_10_7717_peerj_cs_357 crossref_primary_10_1145_3580511 crossref_primary_10_1016_j_ins_2022_11_119 crossref_primary_10_1016_j_ins_2021_01_075 crossref_primary_10_1016_j_ins_2021_05_068 crossref_primary_10_1016_j_neucom_2023_126608 |
| Cites_doi | 10.1073/pnas.0601602103 10.1103/PhysRevE.77.036109 10.1126/science.290.5500.2323 10.1016/j.cnsns.2016.08.011 10.1214/12-AOS1036 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Inc. |
| Copyright_xml | – notice: 2019 Elsevier Inc. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.ins.2019.10.027 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Library & Information Science |
| EISSN | 1872-6291 |
| EndPage | 1457 |
| ExternalDocumentID | 10_1016_j_ins_2019_10_027 S0020025519309806 |
| GroupedDBID | --K --M --Z -~X .DC .~1 0R~ 1B1 1OL 1RT 1~. 1~5 29I 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN 9JO AAAKF AAAKG AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO AAYFN ABAOU ABBOA ABEFU ABFNM ABJNI ABMAC ABTAH ABUCO ABXDB ABYKQ ACAZW ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADGUI ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFFNX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIGVJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM ARUGR ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HAMUX HLZ HVGLF HZ~ H~9 IHE J1W JJJVA KOM LG9 LY1 M41 MHUIS MO0 MS~ N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SDS SES SEW SPC SPCBC SSB SSD SST SSV SSW SSZ T5K TN5 TWZ UHS WH7 WUQ XPP YYP ZMT ZY4 ~02 ~G- AAXKI AAYXX ADVLN AFJKZ AKRWK CITATION |
| ID | FETCH-LOGICAL-c340t-f71463500c6cf06d727411112170253065b3984338a046b0ceefaa48c503a2663 |
| IEDL.DBID | AIKHN |
| ISSN | 0020-0255 |
| IngestDate | Thu Sep 26 15:52:29 EDT 2024 Fri Feb 23 02:46:22 EST 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Siamese network Network embedding Inductive representation learning Information fusion |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c340t-f71463500c6cf06d727411112170253065b3984338a046b0ceefaa48c503a2663 |
| ORCID | 0000-0002-3574-5665 |
| OpenAccessLink | https://repository.kaust.edu.sa/bitstreams/ee2fb8e7-6a1f-4179-b627-59c97bd1ba90/download |
| PageCount | 16 |
| ParticipantIDs | crossref_primary_10_1016_j_ins_2019_10_027 elsevier_sciencedirect_doi_10_1016_j_ins_2019_10_027 |
| PublicationCentury | 2000 |
| PublicationDate | February 2020 2020-02-00 |
| PublicationDateYYYYMMDD | 2020-02-01 |
| PublicationDate_xml | – month: 02 year: 2020 text: February 2020 |
| PublicationDecade | 2020 |
| PublicationTitle | Information sciences |
| PublicationYear | 2020 |
| Publisher | Elsevier Inc |
| Publisher_xml | – name: Elsevier Inc |
| References | Hinton, Roweis (bib0021) 2003 Zhao, Levina, Zhu (bib0052) 2012; 40 Mueller, Thyagarajan (bib0033) 2016 Tsitsulin, Mottin, Karras, Müller (bib0044) 2018 Levy, Goldberg (bib0024) 2014 Mikolov, Sutskever, Chen, Corrado, Dean (bib0032) 2013 Kim, Altmann (bib0022) 2017; 44 Akujuobi, Yufei, Zhang, Zhang (bib0001) 2019 Yang, Liu, Zhao, Sun, Chang (bib0049) 2015 van der Maaten (bib0029) 2014; 15 Liu, Liu, Chua, Sun (bib0027) 2015 Chang, Han, Tang, Qi, Aggarwal, Huang (bib0009) 2015 Hamilton, Ying, Leskovec (bib0020) 2017 Bengio, Ducharme, Vincent, Jauvin (bib0003) 2003; 3 Roweis, Saul (bib0040) 2000; 290 Demšar (bib0015) 2006; 7 Li, Zhang, Wang, Zhang, Chen (bib0026) 2008; 77 Grover, Leskovec (bib0019) 2016 Newman (bib0035) 2006; 103 Nickel, Jiang, Tresp (bib0036) 2014 Belkin, Niyogi (bib0002) 2001 Carreira-Perpinán, Vladymyrov (bib0008) 2015 Maaten, Hinton (bib0030) 2008; 9 Tu, Zhang, Liu, Sun (bib0045) 2016 Dai, Li, Tang, Wang (bib0014) 2018 Goodfellow, Bengio, Courville (bib0017) 2016 Feng, Yang, Hu, Wu, Zhang (bib0016) 2018 Bojchevski, Gnnemann (bib0004) 2018 Chen, Pu, Liu, Zhang (bib0012) 2019 Kipf, Welling (bib0023) 2017 Wang, Tang, Morstatter, Liu (bib0048) 2016 Neculoiu, Versteegh, Rotaru, Amsterdam (bib0034) 2016 Meng, Liang, Bao, Zhang (bib0031) 2019 van der Maaten (bib0028) 2009; 500 Bouchard, Singh, Trouillon (bib0005) 2015 Chopra, Hadsell, LeCun (bib0013) 2005; vol. 1 Wang, Cui, Zhu (bib0046) 2016 Chen, Zhang, Wang, Zhang, Yan, Li (bib0010) 2016 Pedregosa, Varoquaux, Gramfort, Michel, Thirion, Grisel, Blondel, Prettenhofer, Weiss, Dubourg, Vanderplas, Passos, Cournapeau, Brucher, Perrot, Duchesnay (bib0038) 2011; 12 Tang, Liu (bib0043) 2009 Perozzi, Al-Rfou, Skiena (bib0039) 2014 Bromley, Guyon, LeCun, Säckinger, Shah (bib0006) 1993 Zhang, Yin, Zhu, Zhang (bib0051) 2016 Li, Zhu, Zhang (bib0025) 2016 Pan, Wu, Zhu, Zhang, Wang (bib0037) 2016 Tang, Qu, Wang, Zhang, Yan, Mei (bib0042) 2015 Cao, Lu, Xu (bib0007) 2016 Chen, Yu, Wang, Domeniconi, Li, Zhang (bib0011) 2019 Sun, Zhang (bib0041) 2019 Gori, Monfardini, Scarselli (bib0018) 2005; vol. 2 Yang, Cohen, Salakhutdinov (bib0050) 2016 Bojchevski (10.1016/j.ins.2019.10.027_bib0004) 2018 Liu (10.1016/j.ins.2019.10.027_bib0027) 2015 Hinton (10.1016/j.ins.2019.10.027_bib0021) 2003 Tang (10.1016/j.ins.2019.10.027_bib0042) 2015 Feng (10.1016/j.ins.2019.10.027_bib0016) 2018 Demšar (10.1016/j.ins.2019.10.027_bib0015) 2006; 7 Gori (10.1016/j.ins.2019.10.027_bib0018) 2005; vol. 2 Nickel (10.1016/j.ins.2019.10.027_bib0036) 2014 Zhang (10.1016/j.ins.2019.10.027_bib0051) 2016 Wang (10.1016/j.ins.2019.10.027_bib0046) 2016 Hamilton (10.1016/j.ins.2019.10.027_bib0020) 2017 Zhao (10.1016/j.ins.2019.10.027_bib0052) 2012; 40 Chen (10.1016/j.ins.2019.10.027_bib0011) 2019 Akujuobi (10.1016/j.ins.2019.10.027_bib0001) 2019 Carreira-Perpinán (10.1016/j.ins.2019.10.027_bib0008) 2015 Pedregosa (10.1016/j.ins.2019.10.027_bib0038) 2011; 12 Kipf (10.1016/j.ins.2019.10.027_bib0023) 2017 Maaten (10.1016/j.ins.2019.10.027_bib0030) 2008; 9 Perozzi (10.1016/j.ins.2019.10.027_bib0039) 2014 Chen (10.1016/j.ins.2019.10.027_bib0010) 2016 Levy (10.1016/j.ins.2019.10.027_bib0024) 2014 Meng (10.1016/j.ins.2019.10.027_bib0031) 2019 Neculoiu (10.1016/j.ins.2019.10.027_bib0034) 2016 Sun (10.1016/j.ins.2019.10.027_bib0041) 2019 Dai (10.1016/j.ins.2019.10.027_bib0014) 2018 van der Maaten (10.1016/j.ins.2019.10.027_bib0029) 2014; 15 Bengio (10.1016/j.ins.2019.10.027_bib0003) 2003; 3 Cao (10.1016/j.ins.2019.10.027_bib0007) 2016 Mueller (10.1016/j.ins.2019.10.027_bib0033) 2016 Wang (10.1016/j.ins.2019.10.027_bib0048) 2016 Pan (10.1016/j.ins.2019.10.027_bib0037) 2016 Tu (10.1016/j.ins.2019.10.027_bib0045) 2016 Tang (10.1016/j.ins.2019.10.027_bib0043) 2009 Newman (10.1016/j.ins.2019.10.027_bib0035) 2006; 103 Goodfellow (10.1016/j.ins.2019.10.027_sbref0015) 2016 Yang (10.1016/j.ins.2019.10.027_bib0049) 2015 Roweis (10.1016/j.ins.2019.10.027_bib0040) 2000; 290 Li (10.1016/j.ins.2019.10.027_bib0026) 2008; 77 Li (10.1016/j.ins.2019.10.027_bib0025) 2016 Mikolov (10.1016/j.ins.2019.10.027_bib0032) 2013 Bromley (10.1016/j.ins.2019.10.027_bib0006) 1993 Belkin (10.1016/j.ins.2019.10.027_bib0002) 2001 Bouchard (10.1016/j.ins.2019.10.027_bib0005) 2015 Chopra (10.1016/j.ins.2019.10.027_bib0013) 2005; vol. 1 van der Maaten (10.1016/j.ins.2019.10.027_bib0028) 2009; 500 Tsitsulin (10.1016/j.ins.2019.10.027_bib0044) 2018 Chen (10.1016/j.ins.2019.10.027_bib0012) 2019 Kim (10.1016/j.ins.2019.10.027_bib0022) 2017; 44 Grover (10.1016/j.ins.2019.10.027_bib0019) 2016 Yang (10.1016/j.ins.2019.10.027_bib0050) 2016 Chang (10.1016/j.ins.2019.10.027_bib0009) 2015 |
| References_xml | – start-page: 609 year: 2016 end-page: 618 ident: bib0051 article-title: Homophily, structure, and content augmented network representation learning publication-title: Data Mining (ICDM), 2016 IEEE 16th International Conference on contributor: fullname: Zhang – start-page: 585 year: 2001 end-page: 591 ident: bib0002 article-title: Laplacian eigenmaps and spectral techniques for embedding and clustering publication-title: Advances in Neural Information Processing Systems 14 contributor: fullname: Niyogi – year: 2016 ident: bib0025 article-title: Discriminative deep random walk for network classification publication-title: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL contributor: fullname: Zhang – volume: 12 start-page: 2825 year: 2011 end-page: 2830 ident: bib0038 article-title: Scikit-learn: machine learning in Python publication-title: J. Mach. Learn. Res. contributor: fullname: Duchesnay – start-page: 1179 year: 2014 end-page: 1187 ident: bib0036 article-title: Reducing the rank in relational factorization models by including observable patterns publication-title: Advances in Neural Information Processing Systems contributor: fullname: Tresp – year: 2017 ident: bib0023 article-title: Semi-supervised classification with graph convolutional networks contributor: fullname: Welling – volume: 15 start-page: 3221 year: 2014 end-page: 3245 ident: bib0029 article-title: Accelerating t-SNE using tree-based algorithms publication-title: JMLR contributor: fullname: van der Maaten – start-page: 3111 year: 2013 end-page: 3119 ident: bib0032 article-title: Distributed representations of words and phrases and their compositionality publication-title: Advances in Neural Information Processing Systems contributor: fullname: Dean – start-page: 169 year: 2019 end-page: 182 ident: bib0041 article-title: A novel framework for node/edge attributed graph embedding publication-title: PAKDD 2019 contributor: fullname: Zhang – year: 2019 ident: bib0012 article-title: Gaussian mixture embedding of multiple node roles in networks publication-title: WWW Journal contributor: fullname: Zhang – start-page: 857 year: 2003 end-page: 864 ident: bib0021 article-title: Stochastic neighbor embedding publication-title: Advances in Neural Information Processing Systems contributor: fullname: Roweis – start-page: 701 year: 2014 end-page: 710 ident: bib0039 article-title: DeepWalk: online learning of social representations publication-title: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining contributor: fullname: Skiena – year: 2017 ident: bib0020 article-title: Inductive representation learning on large graphs publication-title: Advances in Neural Information Processing Systems contributor: fullname: Leskovec – year: 2018 ident: bib0016 article-title: Representation learning for scale-free networks contributor: fullname: Zhang – start-page: 148 year: 2016 ident: bib0034 article-title: Learning text similarity with siamese recurrent networks publication-title: ACL 2016 contributor: fullname: Amsterdam – start-page: 539 year: 2018 end-page: 548 ident: bib0044 article-title: Verse: versatile graph embeddings from similarity measures publication-title: Proceedings of the 2018 World Wide Web Conference on World Wide Web contributor: fullname: Müller – volume: vol. 2 start-page: 729 year: 2005 end-page: 734 ident: bib0018 article-title: A new model for learning in graph domains publication-title: Neural Networks, 2005. IJCNN’05. Proceedings. 2005 IEEE International Joint Conference on contributor: fullname: Scarselli – volume: 3 start-page: 1137 year: 2003 end-page: 1155 ident: bib0003 article-title: A neural probabilistic language model publication-title: J. Mach. Learn. Res. contributor: fullname: Jauvin – volume: 103 start-page: 8577 year: 2006 end-page: 8582 ident: bib0035 article-title: Modularity and community structure in networks publication-title: Proc. Natl. Acad. Sci. contributor: fullname: Newman – start-page: 2177 year: 2014 end-page: 2185 ident: bib0024 article-title: Neural word embedding as implicit matrix factorization publication-title: Advances in Neural Information Processing Systems contributor: fullname: Goldberg – start-page: 1145 year: 2016 end-page: 1152 ident: bib0007 article-title: Deep neural networks for learning graph representations publication-title: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence contributor: fullname: Xu – start-page: 40 year: 2016 end-page: 48 ident: bib0050 article-title: Revisiting semi-supervised learning with graph embeddings publication-title: Proceedings of The 33rd International Conference on Machine Learning contributor: fullname: Salakhutdinov – year: 2016 ident: bib0033 article-title: Siamese recurrent architectures for learning sentence similarity publication-title: Thirtieth AAAI Conference on Artificial Intelligence contributor: fullname: Thyagarajan – year: 2016 ident: bib0017 article-title: Deep learning contributor: fullname: Courville – volume: 500 start-page: 26 year: 2009 ident: bib0028 article-title: Learning a parametric embedding by preserving local structure publication-title: RBM contributor: fullname: van der Maaten – volume: 40 start-page: 2266 year: 2012 end-page: 2292 ident: bib0052 article-title: Consistency of community detection in networks under degree-corrected stochastic block models publication-title: Ann. Stat. contributor: fullname: Zhu – start-page: 253 year: 2015 end-page: 261 ident: bib0008 article-title: A fast, universal algorithm to learn parametric nonlinear embeddings publication-title: Advances in Neural Information Processing Systems contributor: fullname: Vladymyrov – start-page: 1 year: 2016 end-page: 16 ident: bib0010 article-title: Non-linear smoothed transductive network embedding with text information publication-title: Asian Conference on Machine Learning contributor: fullname: Li – start-page: 2123 year: 2019 end-page: 2129 ident: bib0011 article-title: Activehne: active heterogeneous network embedding publication-title: IJCAI contributor: fullname: Zhang – volume: 9 start-page: 2579 year: 2008 end-page: 2605 ident: bib0030 article-title: Visualizing data using t-SNE publication-title: J. Mach. Learn. Res. contributor: fullname: Hinton – volume: 77 start-page: 036109 year: 2008 ident: bib0026 article-title: Quantitative function for community detection publication-title: Phys. Rev. E contributor: fullname: Chen – start-page: 1067 year: 2015 end-page: 1077 ident: bib0042 article-title: Line: large-scale information network embedding publication-title: Proceedings of the 24th International Conference on World Wide Web contributor: fullname: Mei – start-page: 1225 year: 2016 end-page: 1234 ident: bib0046 article-title: Structural deep network embedding publication-title: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining contributor: fullname: Zhu – start-page: 2418 year: 2015 end-page: 2424 ident: bib0027 article-title: Topical word embeddings publication-title: AAAI Conference on Artificial Intelligence contributor: fullname: Sun – start-page: 855 year: 2016 end-page: 864 ident: bib0019 article-title: node2vec: scalable feature learning for networks publication-title: Proceedings of the 22th ACM SIGKDD international conference on Knowledge discovery and data mining 2016 contributor: fullname: Leskovec – year: 2019 ident: bib0001 article-title: Recurrent attention walk for semi-supervised classification publication-title: ICDM contributor: fullname: Zhang – start-page: 737 year: 1993 end-page: 744 ident: bib0006 article-title: Signature verification using a siamese time delay neural network publication-title: Proceedings of the 6th International Conference on Neural Information Processing Systems contributor: fullname: Shah – volume: vol. 1 start-page: 539 year: 2005 end-page: 546 ident: bib0013 article-title: Learning a similarity metric discriminatively, with application to face verification publication-title: Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on contributor: fullname: LeCun – start-page: 393 year: 2019 end-page: 401 ident: bib0031 article-title: Co-embedding attributed networks publication-title: WSDM contributor: fullname: Zhang – year: 2015 ident: bib0049 article-title: Network representation learning with rich text information publication-title: Twenty-Fourth International Joint Conference on Artificial Intelligence contributor: fullname: Chang – year: 2018 ident: bib0014 article-title: Adversarial network embedding contributor: fullname: Wang – start-page: 1753 year: 2016 end-page: 1762 ident: bib0048 article-title: Paired restricted Boltzmann machine for linked data publication-title: Proceedings of the 25th ACM Conference on Information and Knowledge Management contributor: fullname: Liu – start-page: 1895 year: 2016 end-page: 1901 ident: bib0037 article-title: Tri-party deep network representation publication-title: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence contributor: fullname: Wang – start-page: 817 year: 2009 end-page: 826 ident: bib0043 article-title: Relational learning via latent social dimensions publication-title: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining contributor: fullname: Liu – year: 2018 ident: bib0004 article-title: Deep Gaussian embedding of graphs: unsupervised inductive learning via ranking publication-title: International Conference on Learning Representations contributor: fullname: Gnnemann – year: 2015 ident: bib0005 article-title: On approximate reasoning capabilities of low-rank vector spaces publication-title: AAAI KRR contributor: fullname: Trouillon – volume: 7 start-page: 1 year: 2006 end-page: 30 ident: bib0015 article-title: Statistical comparisons of classifiers over multiple data sets publication-title: J. Mach. Learn. Res. contributor: fullname: Demšar – start-page: 3889 year: 2016 end-page: 3895 ident: bib0045 article-title: Max-margin deepwalk: discriminative learning of network representation publication-title: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016) contributor: fullname: Sun – start-page: 119 year: 2015 end-page: 128 ident: bib0009 article-title: Heterogeneous network embedding via deep architectures publication-title: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining contributor: fullname: Huang – volume: 290 start-page: 2323 year: 2000 end-page: 2326 ident: bib0040 article-title: Nonlinear dimensionality reduction by locally linear embedding publication-title: Science contributor: fullname: Saul – volume: 44 start-page: 482 year: 2017 end-page: 494 ident: bib0022 article-title: Effect of homophily on network formation publication-title: Commun. Nonlinear Sci. Numer. Simul. contributor: fullname: Altmann – volume: 3 start-page: 1137 issue: Feb year: 2003 ident: 10.1016/j.ins.2019.10.027_bib0003 article-title: A neural probabilistic language model publication-title: J. Mach. Learn. Res. contributor: fullname: Bengio – volume: 500 start-page: 26 year: 2009 ident: 10.1016/j.ins.2019.10.027_bib0028 article-title: Learning a parametric embedding by preserving local structure publication-title: RBM contributor: fullname: van der Maaten – year: 2018 ident: 10.1016/j.ins.2019.10.027_bib0014 contributor: fullname: Dai – year: 2015 ident: 10.1016/j.ins.2019.10.027_bib0049 article-title: Network representation learning with rich text information contributor: fullname: Yang – volume: vol. 1 start-page: 539 year: 2005 ident: 10.1016/j.ins.2019.10.027_bib0013 article-title: Learning a similarity metric discriminatively, with application to face verification contributor: fullname: Chopra – volume: 9 start-page: 2579 issue: Nov year: 2008 ident: 10.1016/j.ins.2019.10.027_bib0030 article-title: Visualizing data using t-SNE publication-title: J. Mach. Learn. Res. contributor: fullname: Maaten – year: 2019 ident: 10.1016/j.ins.2019.10.027_bib0001 article-title: Recurrent attention walk for semi-supervised classification contributor: fullname: Akujuobi – start-page: 855 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0019 article-title: node2vec: scalable feature learning for networks contributor: fullname: Grover – year: 2015 ident: 10.1016/j.ins.2019.10.027_bib0005 article-title: On approximate reasoning capabilities of low-rank vector spaces contributor: fullname: Bouchard – year: 2017 ident: 10.1016/j.ins.2019.10.027_bib0023 contributor: fullname: Kipf – year: 2017 ident: 10.1016/j.ins.2019.10.027_bib0020 article-title: Inductive representation learning on large graphs contributor: fullname: Hamilton – start-page: 393 year: 2019 ident: 10.1016/j.ins.2019.10.027_bib0031 article-title: Co-embedding attributed networks contributor: fullname: Meng – start-page: 857 year: 2003 ident: 10.1016/j.ins.2019.10.027_bib0021 article-title: Stochastic neighbor embedding contributor: fullname: Hinton – volume: 103 start-page: 8577 issue: 23 year: 2006 ident: 10.1016/j.ins.2019.10.027_bib0035 article-title: Modularity and community structure in networks publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0601602103 contributor: fullname: Newman – start-page: 2123 year: 2019 ident: 10.1016/j.ins.2019.10.027_bib0011 article-title: Activehne: active heterogeneous network embedding contributor: fullname: Chen – year: 2018 ident: 10.1016/j.ins.2019.10.027_bib0016 contributor: fullname: Feng – year: 2016 ident: 10.1016/j.ins.2019.10.027_sbref0015 contributor: fullname: Goodfellow – start-page: 1225 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0046 article-title: Structural deep network embedding contributor: fullname: Wang – start-page: 1753 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0048 article-title: Paired restricted Boltzmann machine for linked data contributor: fullname: Wang – start-page: 148 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0034 article-title: Learning text similarity with siamese recurrent networks publication-title: ACL 2016 contributor: fullname: Neculoiu – start-page: 1 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0010 article-title: Non-linear smoothed transductive network embedding with text information contributor: fullname: Chen – start-page: 737 year: 1993 ident: 10.1016/j.ins.2019.10.027_bib0006 article-title: Signature verification using a siamese time delay neural network contributor: fullname: Bromley – start-page: 701 year: 2014 ident: 10.1016/j.ins.2019.10.027_bib0039 article-title: DeepWalk: online learning of social representations contributor: fullname: Perozzi – start-page: 1067 year: 2015 ident: 10.1016/j.ins.2019.10.027_bib0042 article-title: Line: large-scale information network embedding contributor: fullname: Tang – start-page: 119 year: 2015 ident: 10.1016/j.ins.2019.10.027_bib0009 article-title: Heterogeneous network embedding via deep architectures contributor: fullname: Chang – start-page: 2418 year: 2015 ident: 10.1016/j.ins.2019.10.027_bib0027 article-title: Topical word embeddings contributor: fullname: Liu – start-page: 1895 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0037 article-title: Tri-party deep network representation contributor: fullname: Pan – volume: 77 start-page: 036109 year: 2008 ident: 10.1016/j.ins.2019.10.027_bib0026 article-title: Quantitative function for community detection publication-title: Phys. Rev. E doi: 10.1103/PhysRevE.77.036109 contributor: fullname: Li – start-page: 3111 year: 2013 ident: 10.1016/j.ins.2019.10.027_bib0032 article-title: Distributed representations of words and phrases and their compositionality contributor: fullname: Mikolov – volume: 290 start-page: 2323 year: 2000 ident: 10.1016/j.ins.2019.10.027_bib0040 article-title: Nonlinear dimensionality reduction by locally linear embedding publication-title: Science doi: 10.1126/science.290.5500.2323 contributor: fullname: Roweis – volume: 44 start-page: 482 year: 2017 ident: 10.1016/j.ins.2019.10.027_bib0022 article-title: Effect of homophily on network formation publication-title: Commun. Nonlinear Sci. Numer. Simul. doi: 10.1016/j.cnsns.2016.08.011 contributor: fullname: Kim – start-page: 253 year: 2015 ident: 10.1016/j.ins.2019.10.027_bib0008 article-title: A fast, universal algorithm to learn parametric nonlinear embeddings contributor: fullname: Carreira-Perpinán – start-page: 2177 year: 2014 ident: 10.1016/j.ins.2019.10.027_bib0024 article-title: Neural word embedding as implicit matrix factorization contributor: fullname: Levy – volume: 7 start-page: 1 issue: Jan year: 2006 ident: 10.1016/j.ins.2019.10.027_bib0015 article-title: Statistical comparisons of classifiers over multiple data sets publication-title: J. Mach. Learn. Res. contributor: fullname: Demšar – start-page: 3889 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0045 article-title: Max-margin deepwalk: discriminative learning of network representation contributor: fullname: Tu – start-page: 585 year: 2001 ident: 10.1016/j.ins.2019.10.027_bib0002 article-title: Laplacian eigenmaps and spectral techniques for embedding and clustering contributor: fullname: Belkin – volume: 40 start-page: 2266 issue: 4 year: 2012 ident: 10.1016/j.ins.2019.10.027_bib0052 article-title: Consistency of community detection in networks under degree-corrected stochastic block models publication-title: Ann. Stat. doi: 10.1214/12-AOS1036 contributor: fullname: Zhao – start-page: 609 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0051 article-title: Homophily, structure, and content augmented network representation learning contributor: fullname: Zhang – start-page: 539 year: 2018 ident: 10.1016/j.ins.2019.10.027_bib0044 article-title: Verse: versatile graph embeddings from similarity measures contributor: fullname: Tsitsulin – volume: vol. 2 start-page: 729 year: 2005 ident: 10.1016/j.ins.2019.10.027_bib0018 article-title: A new model for learning in graph domains contributor: fullname: Gori – year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0025 article-title: Discriminative deep random walk for network classification contributor: fullname: Li – start-page: 1145 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0007 article-title: Deep neural networks for learning graph representations contributor: fullname: Cao – start-page: 169 year: 2019 ident: 10.1016/j.ins.2019.10.027_bib0041 article-title: A novel framework for node/edge attributed graph embedding contributor: fullname: Sun – start-page: 40 year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0050 article-title: Revisiting semi-supervised learning with graph embeddings contributor: fullname: Yang – volume: 15 start-page: 3221 year: 2014 ident: 10.1016/j.ins.2019.10.027_bib0029 article-title: Accelerating t-SNE using tree-based algorithms publication-title: JMLR contributor: fullname: van der Maaten – volume: 12 start-page: 2825 year: 2011 ident: 10.1016/j.ins.2019.10.027_bib0038 article-title: Scikit-learn: machine learning in Python publication-title: J. Mach. Learn. Res. contributor: fullname: Pedregosa – year: 2016 ident: 10.1016/j.ins.2019.10.027_bib0033 article-title: Siamese recurrent architectures for learning sentence similarity contributor: fullname: Mueller – start-page: 817 year: 2009 ident: 10.1016/j.ins.2019.10.027_bib0043 article-title: Relational learning via latent social dimensions contributor: fullname: Tang – year: 2018 ident: 10.1016/j.ins.2019.10.027_bib0004 article-title: Deep Gaussian embedding of graphs: unsupervised inductive learning via ranking contributor: fullname: Bojchevski – start-page: 1179 year: 2014 ident: 10.1016/j.ins.2019.10.027_bib0036 article-title: Reducing the rank in relational factorization models by including observable patterns contributor: fullname: Nickel – year: 2019 ident: 10.1016/j.ins.2019.10.027_bib0012 article-title: Gaussian mixture embedding of multiple node roles in networks contributor: fullname: Chen |
| SSID | ssj0004766 |
| Score | 2.3856454 |
| Snippet | Graph representation learning or graph embedding is a classical topic in data mining. Current embedding methods are mostly non-parametric, where all the... |
| SourceID | crossref elsevier |
| SourceType | Aggregation Database Publisher |
| StartPage | 1442 |
| SubjectTerms | Inductive representation learning Information fusion Network embedding Siamese network |
| Title | GraPASA: Parametric graph embedding via siamese architecture |
| URI | https://dx.doi.org/10.1016/j.ins.2019.10.027 |
| Volume | 512 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NS8MwFA9zu-hBdCp-beQgHoRsadO0qXgpwzkVx0AHu5WmTaGCc8zp0b_d99oUJ-jFHkMC7Xvp--C93-8RcuZLo7PMl0zlRjAvz32mQO_MCTQXRrrSKEQjP4z90dS7m8lZgwxqLAy2VVrbX9n00lrblb6VZn9RFIjxdcuIGEIQHiqk3W6BO3JVk7Si2_vR-BseGVQlS8yU8EBd3CzbvIo5knY7YQ97vHC2zG_uac3lDHfIto0VaVS9zi5pmHmbbK0xCLZJx-IO6Dm1wCIUNLV_7B65ulkmk-gxuqSTBNuwkI-fliTV1Lxok6Hnoh9FQt8KbJc1dL2wsE-mw-unwYjZgQksFR5fsTwAuyck56mf5tzPAuSmgQfSDvhunBGvRag8yEoTSIs1BweZJ4mnUslFAp5aHJDm_HVuDgmFPVLkjgkRPAthhdIuFzoTgSNT2BsckYtaTvGi4sWI64ax5xiEGqNQcYnjZq-WZPxDuTHY7b-PHf_v2AnZdCtVM-6ckuZq-W46EDmsdJds9D6drr0fX52avpA |
| link.rule.ids | 315,783,787,4509,24128,27936,27937,45597,45691 |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5Ke1APolXxVd2DeBBiN9lsHuIlFGtqHxRsobeQTTYQwVhq9fc7k2ywgl7McZmBZCY7D3a-bwm5coSSaeoIw8sUN-wscwwP_G6YrmRcCUsoD9HI44kTzu2nhVg0SK_GwuBYpY79VUwvo7Ve6Wprdpd5jhhfq6yIoQRhvoe02y2oBnzYna1gMAwn3_BItzqyxE4JFerDzXLMKy-QtNv0b3HGC--W-S09baSc_h7Z1bUiDarX2ScNVbTJzgaDYJt0NO6AXlMNLEJDU71jD8j94yqeBs_BHZ3GOIaFfPy0JKmm6lWqFDMX_cxj-p7juKyimwcLh2Tef5j1QkNfmGAk3GZrI3Mh7nHBWOIkGXNSF7lp4IG2A74b74iX3Pds6EpjaIslgwSZxbHtJYLxGDI1PyLN4q1Qx4SCjOCZqXwEz0JZ4UmLcZly1xQJyLon5Ka2U7SseDGiemDsJQKjRmhUXGIobNeWjH44N4K4_bfa6f_ULslWOBuPotFgMjwj21bldoOZ56S5Xn2oDlQRa3mh_5IvQBjAhA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=GraPASA%3A+Parametric+graph+embedding+via+siamese+architecture&rft.jtitle=Information+sciences&rft.au=Chen%2C+Yujun&rft.au=Sun%2C+Ke&rft.au=Pu%2C+Juhua&rft.au=Xiong%2C+Zhang&rft.date=2020-02-01&rft.issn=0020-0255&rft.volume=512&rft.spage=1442&rft.epage=1457&rft_id=info:doi/10.1016%2Fj.ins.2019.10.027&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ins_2019_10_027 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0020-0255&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0020-0255&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0020-0255&client=summon |