Abstract: In this article, we address a time-varying quadratic optimization problem over a graph under the assumption that the problem shares the same sparsity pattern as the static graph encoding the ...

Abstract: Embedding-based graph representation learning methods have shown strong performance on knowledge graphs (KGs), but most are designed for static settings and struggle to model temporal ...