"Awesome Graph Classification" — A collection of graph classification methods, covering embedding, deep learning, graph kernel, and factorization papers with reference implementations https://t.co/ugpL3xSvf1
— Sebastian Raschka (@rasbt) July 16, 2019
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Attention mechanism
Attention for interpretability:
- Learning to Explain: https://arxiv.org/abs/1802.07814
- Attention is not Explanation: https://arxiv.org/abs/1902.10186
- Is Attention Interpretable?: https://arxiv.org/abs/1906.03731
Reviews:
Why I no longer play on Kaggle
Kaggle has two strong assumptions:
1. Amount of data you have is fixed, however: https://anand.typepad.com/datawocky/2008/03/more-data-usual.html
2. Processing time is not important, however: https://www.wired.com/2012/04/netflix-prize-costs/
Featured in Rand’s talk
Glad to appear in my friend Rand Xie’s talk! See: 22:29
Featured in Siraj’s lecture :)
Thanks for mentioning me. See 17:10