[Blog] Batched Graph Classification with DGL


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


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


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


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

Thank you


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


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.


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


@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.


Thank you very much!