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Titlebook: Complex Networks XI; Proceedings of the 1 Hugo Barbosa,Jesus Gomez-Gardenes,Marcos Oliveira Conference proceedings 2020 The Editor(s) (if a

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31#
發(fā)表于 2025-3-26 21:49:18 | 只看該作者
32#
發(fā)表于 2025-3-27 02:10:18 | 只看該作者
33#
發(fā)表于 2025-3-27 08:37:55 | 只看該作者
2213-8684 ce—who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas
34#
發(fā)表于 2025-3-27 13:24:46 | 只看該作者
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發(fā)表于 2025-3-27 16:43:06 | 只看該作者
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發(fā)表于 2025-3-27 21:42:13 | 只看該作者
Node Classification with Bounded Error Ratesth guaranteed error bounds, and (2) improve the accuracy of the prediction algorithms. Our experimental results show that the Conformal Prediction framework can provide up?to a 30% improvement in node classification algorithm accuracy while maintaining guaranteed error bounds on predictions.
37#
發(fā)表于 2025-3-27 22:06:22 | 只看該作者
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發(fā)表于 2025-3-28 06:11:02 | 只看該作者
39#
發(fā)表于 2025-3-28 09:24:02 | 只看該作者
Asymmetric Node Similarity Embedding for Directed Graphssed to retain the direction of relationships in the embedding space. The effectiveness of our approach is illustrated visually by the 2D embedding of a lattice graph as well quantitatively in multiple link prediction experiments on real world datasets.
40#
發(fā)表于 2025-3-28 11:21:59 | 只看該作者
Conference proceedings 2020ngs about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.. .
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