Reading Lists
1.Reading List for Graph Neural Networks
1. Overview Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu: A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(1): 4-24 (201...
2.Reading List for Shallow Graph Embedding Models
1st week Cui, Peng, et al. "A survey on network embedding." IEEE transactions on knowledge and data engineering 31.5 (2018): 833-852. Wang, Xi
3.Reading List for Machine Learning Paradigms
Semi/Self-Supervised Learning Semi-supervised Sequence Learning, Neurips 2015 https://arxiv.org/pdf/1511.01432.pdf Self-supervised Learning for Large-scale Item Recommendations https://dl.acm.org/doi/...
4.Reading List for Techniques in Training Neural Networks
1st week: Data augmentation in Computer Vision and Natural Language Processing Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le: Learning Data Augmentation Str...
5.Reading List for Graph Representation Learning
Bryan Perozzi, Rami Al-Rfou, Steven Skiena: DeepWalk: online learning of social representations. KDD 2014: 701-710Aditya Grover, Jure Leskovec: node2v