Learning representation of heterogeneous temporal graphs for recommendation
Abstract Heterogeneous temporal graphs are important abstractions for organising data in recommender systems, for which an effective representation learning method is presented in this paper. Specifically, an attention‐based two‐stage aggregation technique is adopted to aggregate the message passed...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | Electronics Letters |
| Online Access: | https://doi.org/10.1049/ell2.12265 |