[Blog] Batched Graph Classification with DGL


#1

Graph classification is an important problem with applications across many fields – bioinformatics, chemoinformatics, social network analysis, urban computing and cyber-security. Applying graph neural networks to this problem has been a popular approach recently (Ying et al., 2018, Cangea et al., 2018, Knyazev et al., 2018, Bianchi et al., 2019, Liao et al., 2019, Gao et al., 2019).


This is a companion discussion topic for the original entry at https://www.dgl.ai/blog/2019/01/25/batch.html

#2

Feel free to leave any feedback and comments about this blog. There are more blogs on the way.


#3

If possible, can you post links to Arxiv as link to abstract, not on PDF? thank you


#4

Can you also add the RSS or Atom feed to the blog?

Thank you


#5

For the time being, you can find the links to arXiv/OpenReview abstract below:


#6

Thank you very much - I already found them :slight_smile:
I only wanted to make small “usability” suggestion - because sometimes, authors upload the newer version, and direct PDF linking doesn’t reflect this.


#8

I see. We will fix this. Thank you for the kind suggestions.


#9

@alexott you could now subscribe using this feed url: https://www.dgl.ai/feed.xml . If you’d like to subscribe only certain category, use https://www.dgl.ai/feed/blog.xml and replace “blog” with the category you like.


#10

Thank you very much!