Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Xiaobin Rui"'
Publikováno v:
IEEE Access, Vol 9, Pp 21686-21693 (2021)
Rumor detection is an important research topic in social networks, and lots of rumor detection models are proposed in recent years. For the rumor detection task, structural information in a conversation can be used to extract effective features. Howe
Externí odkaz:
https://doaj.org/article/52e8c5cb604349a48789f46e0a97d3b6
Publikováno v:
IEEE Access, Vol 9, Pp 84922-84931 (2021)
Network dismantling is one of the important NP-hard problems in the field of social network analysis. It aims to break down networks into many small components of limited size by only removing a small group of nodes. One feasible way is to decycle (e
Externí odkaz:
https://doaj.org/article/7451a5f09ffd4838814dd6eae5dd7a1c
Publikováno v:
Entropy, Vol 20, Iss 6, p 471 (2018)
Attributed networks consist of not only a network structure but also node attributes. Most existing community detection algorithms only focus on network structures and ignore node attributes, which are also important. Although some algorithms using b
Externí odkaz:
https://doaj.org/article/5a37ee0ef58945c88c640b52bbaf030d
Publikováno v:
Computing & Informatics; 2024, Vol. 43 Issue 3, p687-708, 22p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 17:1-26
The influence are not linked to any footnote in the text. Please check and suggest. maximization problem aims at selecting the k most influential nodes (i.e., seed nodes) from a social network, where the nodes can maximize the number of influenced no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b55b5b86d9c94ef4aa78d2639d9f838f
https://doi.org/10.1145/3573011
https://doi.org/10.1145/3573011
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-12
Text classification plays an important role in many practical applications. In the real world, there are extremely small datasets. Most existing methods adopt pretrained neural network models to handle this kind of dataset. However, these methods are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1177a7aa789e8eb9f7547fed93847da6
https://doi.org/10.1155/2022/7183207
https://doi.org/10.1155/2022/7183207
Publikováno v:
Computing. 104:1155-1171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f613eecfe59933cac0c278e0221ec7
https://doi.org/10.1007/s00607-021-01034-5
https://doi.org/10.1007/s00607-021-01034-5
Publikováno v:
IEEE Transactions on Cybernetics. :1-11
Link prediction is an important task in social network analysis and mining because of its various applications. A large number of link prediction methods have been proposed. Among them, the deep learning-based embedding methods exhibit excellent perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e396629a4afd53731ed50fdaaa2980c3
https://doi.org/10.1109/tcyb.2022.3181810
https://doi.org/10.1109/tcyb.2022.3181810
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031306747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5278ec1a4826ca6b26bcee40d36eac47
https://doi.org/10.1007/978-3-031-30675-4_24
https://doi.org/10.1007/978-3-031-30675-4_24
In this paper, we study the adversarial attacks on influence maximization under dynamic influence propagation models in social networks. In particular, given a known seed set S, the problem is to minimize the influence spread from S by deleting a lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a934474aac02863d27327de5f8e231ee
http://arxiv.org/abs/2209.00892
http://arxiv.org/abs/2209.00892