Titlebook: Complex Networks & Their Applications XII; Proceedings of The T Hocine Cherifi,Luis M. Rocha,Murat Donduran Conference proceedings 2024 The

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,N?herungsl?sungen für Eigenwertprobleme,ties in healthcare access, discrimination, and economic challenges faced by these communities. The paper highlights the value of network analysis in interpreting smaller datasets and calls for further collaborations and research using the freely available survey data and analysis materials.

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希望

TimeGNN: Temporal Dynamic Graph Learning for?Time Series Forecastingd that learns dynamic temporal graph representations that can capture the evolution of inter-series patterns along with the correlations of multiple series. TimeGNN achieves inference times 4 to 80 times faster than other state-of-the-art graph-based methods while achieving comparable forecasting performance.

nuclear-tests

Stochastic Degree Sequence Model with?Edge Constraints (SDSM-EC) for?Backbone Extractionel (SDSM) that allows the null model to include edge constraints (EC) such as prohibited edges. We demonstrate the new SDSM-EC in toy data and empirical data on young children’s’ play interactions, illustrating how it correctly omits noisy edges from the backbone.

Schlemms-Canal

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