Erdos-Renyi graphs
PulseAugur coverage of Erdos-Renyi graphs — every cluster mentioning Erdos-Renyi graphs across labs, papers, and developer communities, ranked by signal.
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New method uses line graphs to analyze sparse graph limits
Researchers have developed a novel method for estimating graph limits, known as graphons, by transforming sparse finite graphs into their line graphs. This technique allows for the application of existing dense graph gr…
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Graph Neural Networks improve node centrality approximation speed and transferability
Researchers have developed Graph Neural Networks (GNNs) to approximate node centrality metrics like betweenness and closeness, which are computationally expensive to calculate exactly. The study demonstrates that GNNs c…
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New method analyzes graph structures to benchmark shortest-path algorithms
Researchers have developed a new method for benchmarking shortest-path algorithms by analyzing graph structures. This approach embeds graphs into a feature space and clusters them to identify regions of similar structur…
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New Paper Explores McDiarmid's Inequality via Approximate Tensorization of Entropy
Researchers have published a paper detailing advancements in McDiarmid's inequality, a tool applicable to statistics, learning theory, and theoretical computer science. The work highlights how approximate tensorization …