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)