Network Dismantling on Signed Network by Evolutionary Deep Reinforcement Learning [PDF]
SensorsNetwork dismantling is an important question that has attracted much attention from many different research areas, including the disruption of criminal organizations, the maintenance of stability in sensor networks, and so on. However, almost all current
Yuxuan Ou +3 more
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Predicting Protein–Protein Interactions via Gated Graph Attention Signed Network [PDF]
Biomolecules, 2021 Protein–protein interactions (PPIs) play a key role in signal transduction and pharmacogenomics, and hence, accurate PPI prediction is crucial. Graph structures have received increasing attention owing to their outstanding performance in machine learning.
Zhijie Xiang +5 more
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A signed network perspective on the government formation process in parliamentary democracies [PDF]
Scientific Reports, 2021 In parliamentary democracies, government negotiations talks following a general election can sometimes be a long and laborious process. In order to explain this phenomenon, in this paper we use structural balance theory to represent a multiparty ...
Angela Fontan, Claudio Altafini
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Error Estimation of Signed Networks Based on Expectation-Maximization Algorithm [PDF]
EntropyData obtained from experiments and surveys in human social systems are inevitably influenced by systematic measurement errors, and network data are no exception.
Ruochen Zhang, Zijie Jia, Jiarui Fan
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Inferring signed social networks from contact patterns [PDF]
Journal of Physics: ComplexitySocial networks are typically inferred from indirect observations, such as proximity data; yet, most methods cannot distinguish between absent relationships and actual negative ties, as both can result in few or no interactions.
Dávid Ferenczi +2 more
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Urban Flood Disaster Control Based on Green-gray-blue Infrastructure Integration [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 Network node embedding is mapping nodes in a network to a low-dimensional vector representation, so that vector space-based learning methods can be directly applied to handle downstream tasks such as link prediction.
HUANG Guoru +4 more
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International cooperation analysis of Asian political distance network constructed using event data
Frontiers in Physics, 2022 Economic integration is underway in East Asia and the Asia-Pacific region, including the Association of Southeast Asian Nations (ASEAN) community-building process, with the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP ...
Sotaro Sada +4 more
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Bipartite Consensus Problems for Directed Signed Networks with External Disturbances
Mathematics, 2023 The intention of this paper is to explore the distributed control issues for directed signed networks in the face of external disturbances under strongly connected topologies.
Baoyu Huo, Jian Ma, Mingjun Du
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Correlations of ESG Ratings: A Signed Weighted Network Analysis
AppliedMath, 2022 ESG ratings are data-driven indices, focused on three key pillars (Environmental, Social, and Governance), which are used by investors in order to evaluate companies and countries, in terms of Sustainability.
Evangelos Ioannidis +3 more
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A Memetic Algorithm for Community Detection in Signed Networks
IEEE Access, 2020 Community discovery (i.e. community detection) in signed networks is a division of nodes, such that the edges in the communities are positive and the edges between the communities are negative.
Shiwei Che, Wu Yang, Wei Wang
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