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PhD Theses on Graph Machine Learning Here are some PhD dissertations on GML (including mine). Nino Shervashidze:Scalable graph kernels Petar Veličković:The resurgence of structure in deep neural networks Sergei Ivanov:Combinatorial and neural graph vector representations Thomas Kipf:Deep learning with graph-structured representations