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There is definitely a lot of interest around the topic. Over 20 graph related papers where accepted for ICLR 2019 - https://openreview.net/group?id=ICLR.cc/2019/Conference

It’s worth stating that being able to work with hierarchical or graphical data is powerful and has very broad applications. The interest is not purely intellectual.

For more, I highly recommend looking at the accepted papers from the NeurIPS 2018 Relational Representation Learning workshop. [1] I really enjoyed the workshop and I hear workshops tend to represent a (rough) frontier of the subfield.

[1] https://r2learning.github.io/

Also this: https://arxiv.org/pdf/1812.04202.pdf (“Deep learning on graphs: A survey”).