Author:
Wu Hanrui,Wu Yanxin,Li Nuosi,Yang Min,Zhang Jia,Ng Michael K.,Long Jinyi
Publisher
Springer Science and Business Media LLC
Reference63 articles.
1. Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In International conference on learning representations (ICLR)
2. Bai, S., Zhang, F., & Torr, P. H. (2021). Hypergraph convolution and hypergraph attention. Pattern Recognition, 110, 107637.
3. Bianchi, F. M., Grattarola, D., Livi, L., & Alippi, C. (2022). Graph neural networks with convolutional ARMA filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7), 3496–3507.
4. Cao, S., Lu, W., & Xu, Q. (2015). GraRep: Learning graph representations with global structural information. In Proceedings of the 24th ACM international on conference on information and knowledge management (pp. 891–900).
5. Chairatanakul, N., Liu, X., Hoang, N. T., & Murata, T. (2023). Heterogeneous graph embedding with single-level aggregation and infomax encoding. Machine Learning, 112(11), 4227–4256.