Attributed Network Embedding for Learning in a Dynamic Environment-Reference-Cited by-同舟云学术

Attributed Network Embedding for Learning in a Dynamic Environment

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:

Li Jundong¹,Dani Harsh¹,Hu Xia²,Tang Jiliang³,Chang Yi⁴,Liu Huan¹

Affiliation:

1. Arizona State University, Tempe, AZ, USA

2. Texas A&M University, College Station, TX, USA

3. Michigan State University, East Lansing, MI, USA

4. Huawei Research America, Santa Clara, CA, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3132919

Reference56 articles.

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2. Nicola Barbieri Francesco Bonchi and Giuseppe Manco. 2014. Who to Follow and Why: Link Prediction with Explanations KDD. ACM 1266--1275. 10.1145/2623330.2623733 Nicola Barbieri Francesco Bonchi and Giuseppe Manco. 2014. Who to Follow and Why: Link Prediction with Explanations KDD. ACM 1266--1275. 10.1145/2623330.2623733

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

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