PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding

Author:

Chairatanakul Nuttapong,Liu Xin,Murata Tsuyoshi

Funder

Japan Society for the Promotion of Science

New Energy and Industrial Technology Development Organization

Japan Science and Technology Agency

Core Research for Evolutional Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

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4. Measuring and relieving the over-smoothing problem for graph neural networks from the topological view;Chen,2020

5. H. Chen, H. Yin, W. Wang, H. Wang, Q.V.H. Nguyen, X. Li, PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction, in: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, ACM Press, London, United Kingdom, 2018, pp. 1177–1186.

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