Titlebook: Computer Supported Cooperative Work and Social Computing; 16th CCF Conference, Yuqing Sun,Tun Lu,Liping Gao Conference proceedings 2022 Spr

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How Do Scholars and Academics Differ?ommunity have more dense connections than those in different communities, which can be utilized to analyze the function of complex networks. In addition, heterogeneous networks are ubiquitous in the real world. For example, academic networks have different types of nodes such as authors, papers, and

遠(yuǎn)足

The Contemporary Scholar in Higher Educationure and node attributes, facilitating various downstream inference tasks. However, most existing attribute network embedding methods base on random walk usually sample many redundant samples and suffer from inconsistency between node structure and attributes. In this paper, we propose a novel attrib

小官

The Contemporary Scholar in Higher Educationle for real-world networks, it is useful to detect communities in attributed networks. Recently, many algorithms consider combinating node attributes and network topology, and the effect of these methods is better than using only one information source. However, the existing algorithms still have so

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/233945.jpg

花費(fèi)

https://doi.org/10.1007/978-981-19-4549-6artificial intelligence; machine learning; information networks; information security; cryptology; inform

顧客

978-981-19-4548-9Springer Nature Singapore Pte Ltd. 2022

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Schriften des Deutschen Orient - Institutsof polymerization of . in .. By embedding relation information into each . representation and concatenating . representations in ., this proposed novel relation embedding method addresses the problem that GAT-based models only consider aggregating the neighboring entities and ignore the effect of re