Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation-Reference-Cited by-同舟云学术

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation

Published:2021-03-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Web Search and Data Mining
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Author:

Hao Bowen¹,Zhang Jing¹,Yin Hongzhi²,Li Cuiping¹,Chen Hong¹

Affiliation:

1. Renmin University of China, Beijing, China

2. The University of Queensland, Brisbane, Australia

Funder

Australian Research Council

National Key R&D Program of China

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437963.3441738

Reference47 articles.

1. Social Boosted Recommendation With Folded Bipartite Network Embedding

2. Jie Chen Tengfei Ma and Cao Xiao. 2018a. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR' 18. Jie Chen Tengfei Ma and Cao Xiao. 2018a. FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. In ICLR' 18.

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