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Found 3 papers, 1 papers with code
Link Streams as a Generalization of Graphs and Time Series
In this work, we contribute to the development of this formalism by showing that link streams also generalize time series.
A Frequency-Structure Approach for Link Stream Analysis
By plugging-in these developments and their time-domain counterpart into our framework, we are able to (i) obtain a new basis for link streams that allow us to represent them in a frequency-structure domain; and (ii) show that many interesting transformations to link streams, like the aggregation of interactions or their embedding into a euclidean space, can be seen as simple filters in our frequency-structure domain.
$L^γ$-PageRank for Semi-Supervised Learning
A procedure for the automated estimation of the optimal $\gamma$, from a unique observation of data, is devised and assessed.
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