Characterizes an estimation-prediction tradeoff in binary logistic models for causal probabilistic temporal graphs and proposes a framework to jointly evaluate temporal link prediction with causal parameter recovery via Cramér-Rao bounds.
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Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.
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Estimation--Prediction Tradeoff in Causal Probabilistic Temporal Graphs
Characterizes an estimation-prediction tradeoff in binary logistic models for causal probabilistic temporal graphs and proposes a framework to jointly evaluate temporal link prediction with causal parameter recovery via Cramér-Rao bounds.
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Generalized L-Modularity for Community Detection Beyond Simple Temporal Networks
Generalizes L-Modularity into a unified framework for community detection in complex link streams that include delayed, directed, weighted, and multipartite interactions.