A node representation learning approach for link prediction in social networks using game theory and K-core decomposition

Research article (The European Physical Journal B, 2019) · cited 16× · AI/ML
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A node representation learning approach for link prediction in social networks using game theory and K-core decomposition

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A node representation learning approach for link prediction in social networks using game theory and K-core decomposition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A node representation learning approach for link prediction in social networks using game theory and K-core decomposition. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-node-representation-learning-approach-for-link-prediction-in-social-networks-using-game-theory-and-k-core-decompositio
MLA “A node representation learning approach for link prediction in social networks using game theory and K-core decomposition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-node-representation-learning-approach-for-link-prediction-in-social-networks-using-game-theory-and-k-core-decompositio.
BibTeX @misc{4ortxyz_a-node-representation-learning-approach-for-link-prediction-in-social-networks-using-game-theory-and-k-core-decompositio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A node representation learning approach for link prediction in social networks using game theory and K-core decomposition}}, year = {2026}, url = {https://4ort.xyz/entity/a-node-representation-learning-approach-for-link-prediction-in-social-networks-using-game-theory-and-k-core-decompositio}, note = {Accessed: 2026-05-24}}
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