Funder
National Natural Science Foundation of China
Xuzhou Science and Technology Project
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Reference186 articles.
1. Abu-El-Haija S, Perozzi B, Al-Rfou R et al (2018) Watch your step: learning node embeddings via graph attention. Adv Neural Inf Processing Syst. https://doi.org/10.48550/arXiv.1710.09599
2. Ahmad WU, Peng N, Chang KW (2021) Gate: graph attention transformer encoder for cross-lingual relation and event extraction. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 12,462–12,470
3. Alon U, Yahav E (2020) On the bottleneck of graph neural networks and its practical implications. Mach Learn 89:5–35
4. Baek J, Kang M, Hwang SJ (2021) Accurate learning of graph representations with graph multiset pooling. In: The Ninth International Conference on Learning Representations, The International Conference on Learning Representations (ICLR)
5. Bai S, Zhang F, Torr PH (2021) Hypergraph convolution and hypergraph attention. Pattern Recognit 110(107):637
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献