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@article{2241658, author = {Timilsina, Mohan and Nováček, Vít and dAquin, Mathieu and Yang, Haixuan}, article_location = {ENGLAND}, article_number = {1}, doi = {http://dx.doi.org/10.1016/j.neunet.2022.10.005}, keywords = {diffusion; multi-layer embedding; neural network}, language = {eng}, issn = {0893-6080}, journal = {NEURAL NETWORKS}, title = {Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding}, url = {https://www.sciencedirect.com/science/article/pii/S0893608022003896}, volume = {156}, year = {2022} }
TY - JOUR ID - 2241658 AU - Timilsina, Mohan - Nováček, Vít - dAquin, Mathieu - Yang, Haixuan PY - 2022 TI - Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding JF - NEURAL NETWORKS VL - 156 IS - 1 SP - 205-217 EP - 205-217 PB - PERGAMON-ELSEVIER SCIENCE LTD SN - 08936080 KW - diffusion KW - multi-layer embedding KW - neural network UR - https://www.sciencedirect.com/science/article/pii/S0893608022003896 N2 - The scarcity of high-quality annotations in many application scenarios has recently led to an increasing interest in devising learning techniques that combine unlabeled data with labeled data in a network. In this work, we focus on the label propagation problem in multilayer networks. Our approach is inspired by the heat diffusion model, which shows usefulness in machine learning problems such as classification and dimensionality reduction. We propose a novel boundary-based heat diffusion algorithm that guarantees a closed-form solution with an efficient implementation. We experimentally validated our method on synthetic networks and five real-world multilayer network datasets representing scientific coauthorship, spreading drug adoption among physicians, two bibliographic networks, and a movie network. The results demonstrate the benefits of the proposed algorithm, where our boundary-based heat diffusion dominates the performance of the state-of-the-art methods. ER -
TIMILSINA, Mohan, Vít NOVÁČEK, Mathieu DAQUIN a Haixuan YANG. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. \textit{NEURAL NETWORKS}. ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD, 2022, roč.~156, č.~1, s.~205-217. ISSN~0893-6080. Dostupné z: https://dx.doi.org/10.1016/j.neunet.2022.10.005.
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