Paper

Note

Hey guys, this is my personal reading note. I am not sure there might be some mistakes in my understanding. Please feel free to correct me (hsiangjenli@gmail.com) if you find any. Thanks!

Adversarial

Year	Title	Ref	External Link
2023	Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions	[1]

Link Prediction

Year	Title	Ref	External Link
2022	Towards Better Evaluation for Dynamic Link Prediction	[2]	📄 🎬
2022	TigerLily: Finding drug interactions in silico with the Graph.	[3]	💻

Reference

[1] (1,2)

Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, and Stephan Günnemann. Adversarial training for graph neural networks: pitfalls, solutions, and new directions. In Thirty-seventh Conference on Neural Information Processing Systems. 2023.

[2] (1,2)

Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, and Reihaneh Rabbany. Towards better evaluation for dynamic link prediction. Advances in Neural Information Processing Systems, 35:32928–32941, 2022.

[3] (1,2)

Benedek Rozemberczki. Tigerlily: finding drug interactions in silico with the graph. arXiv preprint arXiv:2204.08206, 2022.