The political blogosphere and the 2004 u.s. election: Divided they blog, pp.36-43, 2005. ,
Laplacian eigenmaps and spectral techniques for embedding and clustering, In: NIPS, pp.585-591, 2002. ,
Representation learning: A review and new perspectives, IEEE Trans. Pattern Anal. Mach. Intell, vol.35, issue.8, pp.1798-1828, 2013. ,
The biogrid interaction database, Nucleic acids research, 2008. ,
, Grarep: Learning graph representations with global structural information. In: CIKM, pp.891-900, 2015.
, Deep neural networks for learning graph representations. In: AAAI, pp.1145-1152, 2016.
Heterogeneous network embedding via deep architectures, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '15, pp.119-128, 2015. ,
Dynamic network embedding : An extended approach for skip-gram based network embedding, Proceedings of the TwentySeventh International Joint Conference on Artificial Intelligence, IJCAI-18, pp.2086-2092, 2018. ,
Liblinear: A library for large linear classification, J. Mach. Learn. Res, vol.9, pp.1871-1874, 2008. ,
Deep attributed network embedding, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, pp.3364-3370, 2018. ,
Graph embedding techniques, applications, and performance: A survey. Knowledge-Based Systems, pp.2086-2092, 2018. ,
Node2vec: Scalable feature learning for networks, pp.855-864, 2016. ,
Representation learning on graphs: Methods and applications, IEEE Data Engineering Bulletin, vol.40, issue.3, 2017. ,
, SNAP Datasets: Stanford large network dataset collection, 2014.
Distributed representations of words and phrases and their compositionality, In: NIPS, pp.3111-3119, 2013. ,
Asymmetric transitivity preserving graph embedding, pp.1105-1114, 2016. ,
Deepwalk: Online learning of social representations, pp.701-710, 2014. ,
Trust management for the semantic web, pp.351-368, 2003. ,
Nonlinear dimensionality reduction by locally linear embedding, SCIENCE, vol.290, pp.2323-2326, 2000. ,
Line: Large-scale information network embedding, pp.1067-1077, 2015. ,
Relational learning via latent social dimensions, pp.817-826, 2009. ,
A global geometric framework for nonlinear dimensionality reduction, Science, vol.290, issue.5500, pp.2319-2323, 2000. ,
Max-margin deepwalk: Discriminative learning of network representation, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. IJCAI'16, pp.3889-3895, 2016. ,
Structural deep network embedding, In: KDD, pp.1225-1234, 2016. ,
Multi-label relational neighbor classification using social context features, In: KDD, pp.464-472, 2013. ,
Network representation learning with rich text information, Proceedings of the 24th International Conference on Artificial Intelligence. IJCAI'15, pp.2111-2117, 2015. ,
Revisiting semisupervised learning with graph embeddings, Proceedings of the 33rd International Conference on International Conference on Machine Learning, vol.48, pp.40-48, 2016. ,
Anrl: Attributed network representation learning via deep neural networks, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, pp.3155-3161, 2018. ,