This enables a user to query a graph summary that is conditioned on a user-specified utility value. We present both exhaustive and scalable approaches for ...
This enables a user to query a graph summary that is conditioned on a user-specified utility value. We present both exhaustive and scalable approaches for ...
Jun 16, 2020 · We present a utility-driven graph summarization method, based on a clique and independent set decomposition, that produces significant compression with zero ...
This paper explores how to summarize and compress a graph while ensuring that its utility or usefulness does not drop below a certain user-specified utility ...
This enables a user to query a graph summary that is conditioned on a user-specified utility value. We present both exhaustive and scalable approaches for ...
We present new algorithms for graph summarization where the loss in utility is fully controllable by the user. Specifically, we make three key contributions.
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We present new algorithms for graph summarization where the loss in utility is fully controllable by the user.
Jun 16, 2020 · First, we present a utility-driven graph summarization method, based on a clique and independent set decomposition, that produces significant ...
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In this work, we focus on grouping-based utility-driven graph summarization. In terms of state-of-the-art, [31] and [14] offer different ways of measuring loss ...
Jun 16, 2020 · This work presents a utility-driven graph summarization method, based on a clique and independent set decomposition, that produces ...