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A comprehensive survey of link prediction methods
Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …
a given network based on their previous interactions and the network structure. Link …
[HTML][HTML] Portable graph-based rumour detection against multi-modal heterophily
The propagation of rumours on social media poses an important threat to societies, so that
various techniques for graph-based rumour detection have been proposed recently. Existing …
various techniques for graph-based rumour detection have been proposed recently. Existing …
Mining node attributes for link prediction with a non-negative matrix factorization-based approach
Z Zhao, A Hu, N Zhang, J ** field that focuses on analyzing textual content to
identify criminal or suspicious activities, is becoming increasingly important due to the …
identify criminal or suspicious activities, is becoming increasingly important due to the …
Physics-Guided Hypergraph Contrastive Learning for Dynamic Hyperedge Prediction
Z Wang, J Chen, M Gong, F Hao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing magnitude and complexity of data, the importance of higher-order
networks is increasingly prominent. Dynamic hyperedge prediction reveals potential higher …
networks is increasingly prominent. Dynamic hyperedge prediction reveals potential higher …
Fair Link Prediction With Overlap** Groups
In this article, we introduce FairLPG, a framework for ensuring fairness for the task of link
prediction in graphs with multiple sensitive attributes. In the context of link prediction in …
prediction in graphs with multiple sensitive attributes. In the context of link prediction in …