In this section, we present a measure for correlation between a path type and a link type. Here, the correlation indicates a degree of coexistence relationship ...
We newly propose several features and a prediction model. We show through various experiments that our proposed method works effectively and performs better ...
Utilizing adjacency of colleagues and type correlations for enhanced link prediction · H. Jeong, Myoung-Ho Kim · Published in Data & Knowledge Engineering 2020 ...
In other words, paths of different path types affect the existence of links differently. Finally, we use the number of paths between source and target nodes to ...
Jan 1, 2020 · In other words, paths of different path types affect the existence of links differently. Finally, we use the number of paths between source and ...
People also ask
What are the different types of link prediction?
Which algorithm is efficient for link prediction based on local information considering the effect of node degree?
What is the motivation and significance of link prediction?
Is link prediction supervised or unsupervised?
Utilizing adjacency of colleagues and type correlations for enhanced link prediction. HJ Jeong, MH Kim. Data & Knowledge Engineering 125, 101785, 2020. 4, 2020.
Feb 12, 2024 · In this work, we present an end-to-end link prediction concept for HINs using relation representation learning.
Link Prediction by Utilizing Correlations Between Link Types and Path Types in Heterogeneous Information Networks · Utilizing adjacency of colleagues and type ...
Oct 22, 2024 · Link prediction is a technique to forecast future new or missing relationships between entities based on the current network information.
Utilizing adjacency of colleagues and type correlations for enhanced link prediction ... We also study the link prediction problem using the community ...