Advances in Social Network Mining and Analysis

By C. Lee Giles, Marc A. Smith, J. Yen, Haizheng Zhang. 2011

27 citations recorded by the source corpus.

Subfields: Graph Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Graph Learning

1. Jure Leskovec
2. Aditya Grover
3. William L. Hamilton
4. Stephan Günnemann
5. Aleksandar Bojchevski
6. Marinka Zitnik
7. Rex Ying
8. Jian Tang

Citations in the corpus

• node2vec: Scalable Feature Learning for Networks (2016, background): “In networks, the conventional paradigm for generating features for nodes is based on feature extraction techniques which typically involve some seed hand-crafted features based on network properties [8, 11].”