6 ms·
Very high quality work, its a pity that distill.pub did not find a sustainable way forward [1]. On GNN's, the lack of datasets [2] might be a reason they are n
by openrisk 2y ago
Very high quality work, its a pity that distill.pub did not find a sustainable way forward [1].
On GNN's, the lack of datasets [2] might be a reason they are not as talked about. This is something that has affected also the semantic web domain.
[1] https://distill.pub/2021/distill-hiatus/ https://distill.pub/2021/distill-hiatus/
[2] https://huggingface.co/datasets?task_categories=task_categories:graph-ml&sort=trending https://huggingface.co/datasets?task_categories=task_categor...
- siver_john 2y agoHonestly, seeing this on the front page had my hopes up they had found out a way forward but alas.
- wenc 2y agoMy personal hack is that before jumping into papers in unfamiliar areas like these, I go on YouTube and search for “<topic> explained”. The power of YouTube is that for any hot area, there are a bunch of people incentivized to make a short video that maximally engages. The quality can be quite high even at higher levels of math abstractions. The visuals are really helpful to get a feel for the abstractions (3 blue 1 brown proved this years ago). There are some excellent videos of GNNS that in less than 10 mins gave me a launching point into the literature.