论文泛读

Schlichtkrull, Michael, Thomas, Peter Bloem, Rianne, Ivan Titov, and Max Welling. 2017. Modeling Relational Data with Graph Convolutional Networks, arXiv pre-print server. [1703.06103] Modeling Relational Data with Graph Convolutional Networks (arxiv.org)

Vashishth, Shikhar, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2020. Composition-based Multi-Relational Graph Convolutional Networks, arXiv pre-print server. [1911.03082] Composition-based Multi-Relational Graph Convolutional Networks (arxiv.org)

Veli\vkovi'c, Petar, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li`o, and Yoshua Bengio. 2018. Graph Attention Networks, ICLR 2018.

Wang, Xiang, Xiangnan He, Yixin Cao, Meng Liu, and Tat-Seng Chua. 2019. KGAT: Knowledge Graph Attention Network for Recommendation. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 950–58. Anchorage, AK, USA: Association for Computing Machinery.KGAT | Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Wang, Hongwei, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo. 2018. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 417–26. Torino, Italy: Association for Computing Machinery.RippleNet | Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Zhang, Z. Y., X. Han, Z. Y. Liu, X. Jiang, M. S. Sun, Q. Liu, and Acl. 2019. ERNIE: Enhanced Language Representation with Informative Entities (Assoc Computational Linguistics-Acl: Stroudsburg).[1905.07129] ERNIE: Enhanced Language Representation with Informative Entities (arxiv.org)