Towards Interpretation of Node Embeddings
Author:
Affiliation:
1. IBM Research, Delhi, India
2. IIIT Hyderabad, IIIT, India
3. Microsoft, Hyderabad, India
Publisher
ACM Press
Reference25 articles.
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2. J. Tang, M. Qu, M. Wang, M. Zhang, J. Yan, and Q. Mei, "LINE: large-scale information network embedding," in WWW, 2015, pp. 1067--1077.
3. S. Wang, J. Tang, C. C. Aggarwal, and H. Liu, "Linked Document Embedding for Classification," in CIKM, 2016, pp. 115--124.
4. M. Xie, H. Yin, H. Wang, F. Xu, W. Chen, and S. Wang, "Learning Graph-based POI Embedding for Location-based Recommendation," in CIKM, 2016, pp. 15--24.
5. A. Grover and J. Leskovec, "node2vec: Scalable Feature Learning for Networks," in KDD, 2016, pp. 855--864.
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