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Found 3 papers, 1 papers with code
Exploring and mining attributed sequences of interactions
After recalling and extending notions from formal concept analysis on graphs to stream graphs, we introduce algorithms to enumerate closed patterns on a labeled stream graph, and introduce a way to select relevant closed patterns.
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute
Wikipedia is a huge opportunity for machine learning, being the largest semi-structured base of knowledge available.
Stream Graphs and Link Streams for the Modeling of Interactions over Time
It is also consistent with graph theory: graph concepts are special cases of the ones we introduce.
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