Yes, but the problem is learning through the graph data. I.e., it is not a well-structured problem like an image which will always have a certain size in pixels. Coming from a compiler background I am genuinely excited about the research on learning how to label nodes and edges in graphs, but I know little about the challenges in the ML side to bring this kind of technology into reality.
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