There is nothing more fascinating and utterly mind-bending than traversing a graph. Those who succumb to this data processing pattern euphorically suffer from graph pathology. It is no coincidence that the study of graph traversals is known, in academic circles, as Pathology. This lecture will shed light on recent Pathological advances – methods and results.
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