Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts

Author:

Epasto Alessandro1,Perozzi Bryan1

Affiliation:

1. Google, USA

Publisher

ACM Press

Reference51 articles.

1. Bruno Abrahao, Sucheta Soundarajan, John Hopcroft, and Robert Kleinberg. 2014. A separability framework for analyzing community structure. ACM Transactions on Knowledge Discovery from Data (TKDD) 8, 1(2014), 5.

2. Sami Abu-El-Haija, Bryan Perozzi, and Rami Al-Rfou. 2017. Learning Edge Representations via Low-Rank Asymmetric Projections. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management(CIKM '17). ACM, New York, NY, USA, 1787-1796.

3. Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, and Alexander A. Alemi. 2018. Watch Your Step: Learning Node Embeddings via Graph Attention. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montre´al, Canada.9198-9208. http://papers.nips.cc/paper/8131-watch-your-step-learning-node-embeddings-via-graph-attention

4. Rami Al-Rfou, Dustin Zelle, and Bryan Perozzi. 2019. DDGK: Learning Graph Representations for Deep Divergence Graph Kernels. In Proceedings of the 2019 World Wide Web Conference on World Wide Web, WWW 2019.

5. Mathieu Bastian, Sebastien Heymann, and Mathieu Jacomy. 2009. Gephi: an open source software for exploring and manipulating networks. (2009).

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