Attributed Network Embedding for Learning in a Dynamic Environment
Author:
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.
1. Evolutionary Network Analysis
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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