Deep node ranking for neuro‐symbolic structural node embedding and classification-Reference-Cited by-同舟云学术

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Deep node ranking for neuro‐symbolic structural node embedding and classification

Published:2021-09-10 Issue:1 Volume:37 Page:914-943
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Škrlj Blaž¹²^ORCID,Kralj Jan¹³^ORCID,Konc Janez⁴^ORCID,Robnik‐Šikonja Marko⁵^ORCID,Lavrač Nada¹⁶^ORCID

Affiliation:

1. Jožef Stefan Institute Ljubljana Slovenia

2. Jožef Stefan International Postgraduate School Ljubljana Slovenia

3. Cosylab d.o.o. Ljubljana Slovenia

4. National Institute of Chemistry Ljubljana Slovenia

5. Faculty of Computer and Information Science Ljubljana Slovenia

6. University of Nova Gorica Ajdovščina Slovenia

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22651

Reference59 articles.

1. Higher-order organization of complex networks

2. GroverA LeskovecJ. node2vec: Scalable feature learning for networks. In: Krishnapuram B Shah M Smola AJ Aggarwal CC Shen D Rastogi R eds.Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining August 13–17 2016. ACM; 2016:855‐864.https://doi.org/10.1145/2939672.2939754

3. Predicting multicellular function through multi-layer tissue networks

4. RibeiroLF SaveresePH FigueiredoDR.struc2vec. Learning node representations from structural identity. In:Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD '17 Association for Computing Machinery;2017:385‐394.https://doi.org/10.1145/3097983.3098061

5. PerozziB Al‐RfouR SkienaS. Deepwalk: online learning of social representations. In: Macskassy SA Perlich C Leskovec J Wang W Ghani R eds. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD'14 August 24–27 2014. ACM; 2014:701‐710. https://doi.org/10.1145/2623330.2623732

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