Learning Community Embedding with Community Detection and Node Embedding on Graphs-Reference-Cited by-同舟云学术

Learning Community Embedding with Community Detection and Node Embedding on Graphs

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
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Author:

Cavallari Sandro¹,Zheng Vincent W.²,Cai Hongyun²,Chang Kevin Chen-Chuan³,Cambria Erik¹

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Advanced Digital Sciences Center, Singapore, Singapore

3. University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA

Funder

National Natural Science Foundation of China

Research Grant for Human-centered Cyberphysical Systems Programme at Advanced Digital Sciences Center from Singapore A*STAR

National Science Foundation IIS

CSD-Centro Sistemi Direzionali

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3132925

Reference35 articles.

1. Heterogeneous Network Embedding via Deep Architectures

2. Mikhail Belkin and Partha Niyogi. 2001. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. In NIPS. 585--591. Mikhail Belkin and Partha Niyogi. 2001. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. In NIPS. 585--591.

3. From community detection to community profiling

4. Shaosheng Cao Wei Lu and Qiongkai Xu. 2015. GraRep: Learning Graph Representations with Global Structural Information. In CIKM. 891--900. 10.1145/2806416.2806512 Shaosheng Cao Wei Lu and Qiongkai Xu. 2015. GraRep: Learning Graph Representations with Global Structural Information. In CIKM. 891--900. 10.1145/2806416.2806512

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