Survey for Graph Machine Learning

Awesome Graph Machine Learning

Survey on Graph Neural Networks

• Wu, Zonghan, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S. Yu. 2021. “A Comprehensive Survey on Graph Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems 32 (1): 4–24.
• Zhang, Z., P. Cui, and W. Zhu. 2020. “Deep Learning on Graphs: A Survey.” IEEE Transactions on Knowledge and Data Engineering, 1–1.
• Zhou, Jie, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun. 2018. “Graph Neural Networks: A Review of Methods and Applications.” arXiv [cs.LG]. arXiv. http://arxiv.org/abs/1812.08434.

Analysis of Graph Neural Networks

• Xu, Keyulu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2018. “How Powerful Are Graph Neural Networks?” arXiv [cs.LG]. arXiv. http://arxiv.org/abs/1810.00826.

Applications of Graph Neural Networks

• Caramalau, Razvan, Binod Bhattarai, and Tae-Kyun Kim. 2020. “Sequential Graph Convolutional Network for Active Learning.” arXiv [cs.CV]. arXiv. http://arxiv.org/abs/2006.10219.