The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
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(2008) · Journal of Machine Learning Research · Cited by 33,051
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1179 · Cited by 25,545
Semi-supervised classification with graph convolutional networks
Kipf, T. N., & Welling, M. (2016) · arXiv · doi:10.48550/arxiv.1609.02907 · Cited by 24,853
Sequence to Sequence Learning with Neural Networks
Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · arXiv · doi:10.48550/arxiv.1409.3215 · Cited by 17,766
Multi-scale context aggregation by dilated convolutions
Yu, F., & Koltun, V. (2015) · arXiv · doi:10.48550/arxiv.1511.07122 · Cited by 7,738
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Guo, S., Lin, Y., Feng, N., Song, C., & Wan, H. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.3301922 · Cited by 3,123
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Wu, Z., Pan, S., Long, G., Jiang, J., & Zhang, C. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/264 · Cited by 2,948
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Proceedings of the Web Conference 2021
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Cited by
A Comprehensive Survey on Deep Graph Representation Learning
Ju, W., Fang, Z., Gu, Y., Liu, Z., Long, Q., Qiao, Z., Qin, Y., Shen, J., Sun, F., Xiao, Z., et al. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106207 · Cited by 341
Metadata
- Authors
- Weng, W., Fan, J., Wu, H., Hu, Y., Tian, H., Zhu, F., & Wu, J.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2023-10
- Volume
- 142
- Pages
- 109670
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W4367595602
- Cited by
- 267
- References
- 29
- FWCI
- 31.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Weng, W., Fan, J., Wu, H., Hu, Y., Tian, H., Zhu, F., & Wu, J. (2023). A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting. Pattern Recognition. https://doi.org/10.1016/j.patcog.2023.109670
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
