网络表示学习，图神经网络，你推荐哪些综述性的文章？
2024-11-24 阅读 10
以下是一些关于网络表示学习和图神经网络的综述性文章，可以帮助您更好地了解这些领域的最新研究进展：
1. "A Comprehensive Survey on Graph Neural Networks" by Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S. Yu. (IEEE Transactions on Neural Networks and Learning Systems, 2020)
2. "Graph Representation Learning" by William L. Hamilton, Rex Ying, and Jure Leskovec. (Synthesis Lectures on Artificial Intelligence and Machine Learning, 2020)
3. "Graph Convolutional Networks: A Comprehensive Review" by Thomas Kipf and Max Welling. (IEEE Transactions on Neural Networks and Learning Systems, 2017)
4. "Representation Learning on Graphs: Methods and Applications" by William L. Hamilton, Rex Ying, and Jure Leskovec. (arXiv preprint, 2017)
5. "Graph Neural Networks: A Review of Methods and Applications" by Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, and Maosong Sun. (arXiv preprint, 2018)
希望这些文章可以帮助您深入了解网络表示学习和图神经网络的相关内容。
更新于 2024年11月25日
