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Dynamic network link prediction with node representation learning from graph convolutional networks. [PDF]

Sci Rep
Mei P, Zhao YH.
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GraphSage for Link Prediction

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A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks

IEEE Transactions on Knowledge and Data Engineering, 2023
Heterogeneous social networks, which are characterized by diverse interaction types, have resulted in new challenges for missing link prediction. Most deep learning models tend to capture type-specific features to maximize the prediction performances on ...
Huan Wang, Ziwen Cui, Ruigang Liu, Lei Fang, Ying Sha   +4 more
semanticscholar   +3 more sources

Link prediction techniques, applications, and performance: A survey

Physica A: Statistical Mechanics and Its Applications, 2020
Link prediction finds missing links (in static networks) or predicts the likelihood of future links (in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; Barabasi and Albert, 1999; Kleinberg, 2000; Leskovec et al.
Ajay Kumar, S. Singh, Kuldeep Singh, Bhaskar Biswas   +3 more
semanticscholar   +3 more sources

Technology opportunity analysis using hierarchical semantic networks and dual link prediction

Technovation, 2023
Zhenfeng Liu, Jian Feng, L. Uden
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Interpretable link prediction

Chaos, Solitons & Fractals
Hailun Tan, Yan Liu, Xinying Liu, Lianyu Hu, Zengyou He   +4 more
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A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding

Computers in Biology and Medicine, 2021
E. Nasiri, K. Berahmand, M. Rostami, Mohammad Dabiri   +3 more
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A new link prediction in multiplex networks using topologically biased random walks

Chaos, Solitons and Fractals, 2021
E. Nasiri, K. Berahmand, Yuefeng Li
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HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks

The Web Conference, 2023
Knowledge hypergraph embedding, which projects entities and n-ary relations into a low-dimensional continuous vector space to predict missing links, remains a challenging area to be explored despite the ubiquity of n-ary relational facts in the real ...
Chenxu Wang, Xin Wang, Zhao Li, Zi-Yuan Chen, Jianxin Li   +4 more
semanticscholar   +1 more source

Link prediction

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Link prediction is a fundamental problem in social network analysis. The key technique in unsupervised link prediction is to find an appropriate similarity measure between nodes of a network. A class of wildly used similarity measures are based on random walk on graph.
Rong-Hua Li, Jeffrey Xu Yu, Jianquan Liu
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